Вакансии

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. Are you ready to make your mark? About the Role In this role, you will design and build the backend services and capabilities that enable users to create, configure, test and deploy. You will work closely with frontend engineers, AI/ML engineers, product managers, UX designers, and platform teams to bring Agent Studio capabilities from concept through production. You will develop the services behind agent configuration, orchestration, integrations, testing, deployment, and lifecycle management while ensuring the platform meets enterprise expectations for performance, reliability, security, and scalability. This is a great opportunity for an experienced backend engineer who enjoys solving complex technical problems, building extensible products, and creating intuitive ways for users. What You Will Be Doing • Design, develop, test, and maintain scalable backend services and APIs • Build capabilities that enable users to create, configure, test and deploy. • Build APIs and service interfaces that enable intuitive user experiences and reliable interaction between frontend and backend services. • Develop mechanisms for managing configurations, versions, state, context, tools, permissions, and other runtime components. • Build services that enable to securely interact with Intermedia products, enterprise applications, APIs, data sources, and external services. • Collaborate closely with frontend engineers and UX teams to translate complex capabilities into intuitive product experiences. • Work with product managers to translate customer needs and requirements into scalable technical solutions. • Contribute to technical design decisions for agent orchestration, configuration management, workflow execution, integrations, and supporting backend services. • Build capabilities that allow users to test, evaluate, troubleshoot, and refine before and after deployment. • Develop reliable mechanisms for handling execution, errors, retries, timeouts, and other runtime conditions. • Design appropriate controls for authentication, authorization, permissions, and secure access to tools, models, services, and data. • Design for scalability, reliability, performance, observability, and fault tolerance across services. • Write high-quality, readable, testable code that follows established engineering standards and best practices. • Participate in code and design reviews and contribute to strong engineering and quality practices across the team. • Troubleshoot and resolve complex issues across backend services, workflows and integrations. • Build monitoring, logging, testing, and observability into production services to support reliable agent execution and product operations. • Collaborate with DevOps, and infrastructure teams to support reliable deployment and operation. • Stay current with emerging technologies and engineering approaches related backend engineering, and distributed systems. • Participate in continuous improvement initiatives that enhance product quality, reliability, developer productivity, and engineering efficiency. What You Will Bring to the Role Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 4–7 years of professional software engineering experience, with demonstrated experience developing backend applications and services. • Strong proficiency in one or more backend programming languages and associated frameworks. • Experience designing and developing RESTful APIs, microservices, or other serviceoriented applications. • Solid understanding of software design principles, data structures, algorithms, and distributed systems concepts. • Experience working with relational and/or NoSQL databases. • Experience building and supporting scalable, reliable production applications. • Experience integrating applications with internal and external APIs, services, and data sources. • Experience designing backend services that support complex, interactive product experiences. • Working knowledge of cloud platforms such as AWS or Azure and cloud-native application architectures. • Familiarity with automated testing, CI/CD, source control, and modern software development practices. • Understanding of monitoring, logging, observability, and production support practices. • Strong problem-solving skills and the ability to independently investigate and resolve complex technical issues. • Ability to work effectively in an environment where technologies, product requirements, and technical approaches are evolving rapidly. • Strong communication and collaboration skills with the ability to work effectively across backend, frontend, AI/ML, Product, UX, and platform teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. Are you ready to make your mark? About the Role Intermedia is looking for a Senior Software Engineer Backend to join our organization. In this role, you will design and build the backend services, APIs, and data capabilities that power intuitive analytics, visualizations across Intermedia's products. You will help transform complex product and customer data into reliable, performant, and easily consumable information that enables users to understand trends, identify opportunities, and make better decisions. You will work closely with frontend engineers, AI/ML engineers, data engineers, product managers, and UX teams to bring sophisticated insights into compelling customer experiences. This is a great opportunity for an experienced backend engineer who enjoys solving complex data and distributed systems challenges and wants to help redefine how customers interact. What You Will Be Doing • Design, develop, test, and maintain scalable backend services and APIs that power analytics, dashboards and visualizations. • Build services that process, aggregate, enrich, and serve structured and unstructured data for interactive analytics experiences. • Develop APIs and data services optimized for efficient consumption by dashboards, visualizations, reporting interfaces, and other customer-facing experiences. • Build backend capabilities that enable users to explore, filter, compare, drill into, and understand complex datasets and insights. • Partner closely with frontend engineers and UX teams to define service interfaces and data structures that enable intuitive, responsive visualization experiences. • Work with data engineers to establish reliable data flows between source systems, analytical platforms, visualization services, and downstream applications. • Collaborate with product managers and engineering teams to translate customer and business needs into scalable technical solutions. • Contribute to technical design decisions for backend services, analytics APIs, data models, processing workflows, caching strategies, and integrations. • Design systems that deliver timely and accurate analytics while maintaining appropriate data quality and consistency. • Optimize data access, aggregation, and service performance to support responsive and interactive customer experiences. • Design backend capabilities that can support both predefined analytics experiences and more dynamic exploration of data. • Analyze and improve the performance, scalability, reliability, and maintainability of analytics services. • Write high-quality, readable, testable code that follows established engineering standards and best practices. • Participate in code and design reviews and contribute to strong engineering and quality practices across the team. • Troubleshoot and resolve complex issues across backend services, analytics workflows, data processing, and frontend integrations. • Build appropriate monitoring, logging, testing, and observability into production services. • Collaborate with DevOps and platform teams to support reliable deployment and operation of Analytics Visualizations services. • Stay current with emerging technologies and engineering approaches related to analytics, data visualization, data processing, and backend development. • Participate in continuous improvement initiatives that enhance product performance, reliability, customer experience, and engineering efficiency. What You Will Bring to the Role • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 5+ years of professional software engineering experience , with demonstrated experience developing backend applications and services. • Strong proficiency in one or more backend programming languages and associated frameworks. • Experience designing and developing RESTful APIs, microservices, or other service- oriented applications. • Solid understanding of software design principles, data structures, algorithms, and distributed systems concepts. • Experience working with relational and/or NoSQL databases. • Experience designing applications that process, transform, aggregate, or serve significant volumes of data. • Experience developing backend services or APIs that support data-rich, interactive applications. • Experience building and supporting scalable, reliable production applications. • Understanding of data modeling, aggregation, filtering, querying, and other patterns commonly used in analytics applications.• Working knowledge of cloud platforms such as AWS or Azure and cloud-based application architectures. • Familiarity with automated testing, CI/CD, source control, and modern software development practices. • Strong understanding of application performance and the ability to optimize services and data access for responsive user experiences. • Strong problem-solving skills and the ability to independently investigate and resolve complex technical issues. • Strong communication and collaboration skills with the ability to work effectively across backend, frontend, data, UX, and product teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Senior UI/UX Designer - Portals

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. Are you ready to make your mark? About the Role In this role, you will solve challenging frontend engineering problems involving real-time conversations, dynamic interactions and embedded experiences. As a senior technical contributor, you will influence frontend architecture and technical direction, lead complex initiatives from design through production, and help establish engineering standards and patterns that can scale across Intermedia's digital channels. What You Will Be Doing • Design, develop, test, and maintain high-quality web applications and frontend capabilities that power interactions. • Develop reusable web components and frontend capabilities that allow digital experiences to be embedded across Intermedia products and customer-facing websites. • Build responsive experiences for real-time including streaming responses, typing and processing states, long-running operations, errors, and interruptions. • Develop user experiences that clearly communicate actions, status, results, limitations, and requests for additional information. • Build interaction patterns that support rich conversational experiences beyond text, including structured content, forms, actions, links, files, and other interactive elements. • Develop experiences that support effective transitions and handoffs. • Partner with ML and backend engineers to define APIs, events, data contracts, and interaction patterns required to support digital experiences. • Collaborate closely with Product and UX to translate customer needs and design into intuitive product experiences. • Help define frontend architecture and reusable patterns digital experiences across web channels. • Design solutions that support configuration and customization of digital experiences while maintaining consistent engineering and UX standards. • Optimize applications for performance, responsiveness, scalability, and reliability across browsers, devices, network conditions, and customer environments. • Ensure digital experiences meet appropriate accessibility and inclusive design standards. • Design frontend applications with appropriate consideration for authentication, authorization, privacy, security, and protection of sensitive information. • Build appropriate analytics, telemetry, monitoring, logging, and observability into digital experiences. • Use product and operational data to identify performance issues and opportunities to improve the user experience. • Lead technical design discussions and provide guidance on complex frontend engineering decisions. • Conduct code and design reviews and help establish strong standards for frontend architecture, code quality, testing, performance, and maintainability. • Troubleshoot complex production issues spanning frontend applications, APIs, real-time interactions, and enabled experiences. • Mentor and coach engineers and contribute to raising frontend engineering capabilities across the team. • Lead complex frontend initiatives from concept and technical design through implementation, deployment, and continuous improvement. • Stay current with emerging technologies and engineering approaches related to frontend development and conversational interfaces. What You Will Bring to the Role • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 8+ years of professional software engineering experience, with significant experience developing sophisticated frontend applications. • Deep proficiency in JavaScript and/or TypeScript and modern frontend frameworks such as React or Angular. • Strong knowledge of HTML, CSS, responsive design, browser technologies, and modern web application architecture. • Demonstrated experience designing and building complex, interactive web applications used in production environments. • Strong understanding of frontend architecture, component design, state management, application performance, and maintainability. • Experience designing reusable frontend components, libraries, or application frameworks. • Experience integrating frontend applications with RESTful APIs, asynchronous services, and distributed backend systems. • Experience building real-time, asynchronous, or event-driven user experiences. • Strong understanding of automated frontend testing and modern software engineering practices. • Experience designing applications for performance, scalability, reliability, and production support. • Strong understanding of web accessibility, responsive design, browser compatibility, and frontend security. • Experience with CI/CD, source control, code reviews, observability, and modern software delivery practices. • Demonstrated ability to independently lead complex technical initiatives from design through production. • Strong problem-solving skills and the ability to navigate ambiguous and evolving technical requirements. • Experience providing technical guidance, code review, or mentorship to other engineers. • Strong communication and collaboration skills with the ability to influence technical decisions and work effectively across Product, UX, frontend, backend, ML, and platform teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Location: Portugal Workplace: onsite About the Role We are looking for a Senior UI/UX Designer – Portals to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Key Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.

Intermedia Intelligent Communications14 ч назад

Senior UI/UX Designer (AI Assistants & Digital Agents)

Location: Portugal Workplace: remote About the Role We are looking for a Senior UI/UX Designer – AI to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Key Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.

Intermedia Intelligent Communications14 ч назад

Senior UI/UX Designer

Location: Portugal Workplace: remote UI/UX Designer 2 – AI About the Role We are looking for a Senior UI/UX Designer – AI to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.

Intermedia Intelligent Communications14 ч назад

Site Reliability Engineer

Location: Portugal Workplace: remote *ALL CANDIDATES MUST BE LOCATED IN PORTUGAL* About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote, this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. Are you ready to make your mark? About the Role We are looking for a Site Reliability Engineer (SRE) to improve the reliability of our AI and analytics platforms and the services that depend on them. As Intermedia expands its global product deployments, this role will strengthen SRE practices across production infrastructure, data pipelines, machine-learning services, customer-facing analytics, and AI-powered Voice and Unified Communications capabilities. You will partner with AI, data, product, and platform teams to build scalable, observable systems that deliver dependable insights and resilient customer experiences. What you will be doing: Run and improve production environments that support AI and AI workloads, data pipelines, analytics applications, and customer-facing services. Build software and automation to manage cloud infrastructure, data platforms, model-serving infrastructure, and application services. Define and measure service level indicators, service level objectives, and error budgets for AI and analytics services, including availability, data freshness, pipeline completion, and inference latency. Build end-to-end observability that correlates metrics, logs, and traces with data-quality signals, AI-service performance, and customer impact. Monitor and optimize the reliability, performance, capacity, and cost of batch and streaming workloads, analytics queries, and inference services. Partner with data engineering and machine-learning teams to make ingestion, transformation, feature, training, deployment, and reporting workflows production-ready. Automate CI/CD and production-readiness checks for data pipelines, model and prompt releases, schema changes, analytics applications, and dashboards. Detect and resolve data-quality incidents involving missing, stale, delayed, or anomalous data, schema drift, and broken lineage or dependencies. Design and test graceful degradation, dependency isolation, retry and fallback patterns, and recovery procedures for impaired AI, data, or downstream services. Improve the reliability of AI-powered Voice and Unified Communications capabilities such as speech recognition, transcription, summarization, intelligent routing, conversational assistance, and text-to-speech. Establish operational monitoring for model and AI-service behavior, including latency, throughput, error rates, drift indicators, and changes in output quality. Plan capacity and run performance, load, and resilience tests across compute-intensive AI workloads, distributed data processing, and analytics services. Lead incident response and post-incident improvement for AI and analytics services, using measurable actions to reduce recurrence and recovery time. Support secure and reliable access to cloud storage, processing, and query services used by analytics products and internal decision-making. Reduce operational toil and improve engineering productivity through platform tooling, runbooks, self-service automation, and clear operational standards. What you will bring to the role: Bachelor's degree in computer science, data engineering, software engineering, or another technical or scientific discipline, or equivalent practical experience. 4-7 years of experience in production operations, systems engineering, SRE or DevOps, software deployment, and maintenance of distributed production systems. Experience with cloud infrastructure, containers, Kubernetes, distributed systems, and scalable compute and storage services. Experience operating data processing, orchestration, storage, or analytics technologies, such as Kafka, Spark, Airflow, dbt, data warehouses, or comparable cloud services. Ability to use metrics, logs, traces, data-quality checks, freshness indicators, lineage, and service-level indicators to diagnose complex production issues. Experience with CI/CD, DataOps or MLOps practices, automated testing, controlled rollout, and rollback of data and AI service changes. Strong troubleshooting skills across Linux, applications, networks, APIs, data pipelines, and distributed service dependencies, with attention to security and access controls. Strong analytical problem-solving and cross-functional communication skills, with a proactive approach to reliability, performance, and continuous improvement. Diversity Inclusion and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. Are you ready to make your mark? About the Role Intermedia is looking for a Senior Software Engineer Backend to join our organization. In this role, you will design and build the backend services, APIs, and data capabilities that power intuitive analytics, visualizations across Intermedia's products. You will help transform complex product and customer data into reliable, performant, and easily consumable information that enables users to understand trends, identify opportunities, and make better decisions. You will work closely with frontend engineers, AI/ML engineers, data engineers, product managers, and UX teams to bring sophisticated insights into compelling customer experiences. This is a great opportunity for an experienced backend engineer who enjoys solving complex data and distributed systems challenges and wants to help redefine how customers interact. What You Will Be Doing • Design, develop, test, and maintain scalable backend services and APIs that power analytics, dashboards and visualizations. • Build services that process, aggregate, enrich, and serve structured and unstructured data for interactive analytics experiences. • Develop APIs and data services optimized for efficient consumption by dashboards, visualizations, reporting interfaces, and other customer-facing experiences. • Build backend capabilities that enable users to explore, filter, compare, drill into, and understand complex datasets and insights. • Partner closely with frontend engineers and UX teams to define service interfaces and data structures that enable intuitive, responsive visualization experiences. • Work with data engineers to establish reliable data flows between source systems, analytical platforms, visualization services, and downstream applications. • Collaborate with product managers and engineering teams to translate customer and business needs into scalable technical solutions. • Contribute to technical design decisions for backend services, analytics APIs, data models, processing workflows, caching strategies, and integrations. • Design systems that deliver timely and accurate analytics while maintaining appropriate data quality and consistency. • Optimize data access, aggregation, and service performance to support responsive and interactive customer experiences. • Design backend capabilities that can support both predefined analytics experiences and more dynamic exploration of data. • Analyze and improve the performance, scalability, reliability, and maintainability of analytics services. • Write high-quality, readable, testable code that follows established engineering standards and best practices. • Participate in code and design reviews and contribute to strong engineering and quality practices across the team. • Troubleshoot and resolve complex issues across backend services, analytics workflows, data processing, and frontend integrations. • Build appropriate monitoring, logging, testing, and observability into production services. • Collaborate with DevOps and platform teams to support reliable deployment and operation of Analytics Visualizations services. • Stay current with emerging technologies and engineering approaches related to analytics, data visualization, data processing, and backend development. • Participate in continuous improvement initiatives that enhance product performance, reliability, customer experience, and engineering efficiency. What You Will Bring to the Role • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 5+ years of professional software engineering experience , with demonstrated experience developing backend applications and services. • Strong proficiency in one or more backend programming languages and associated frameworks. • Experience designing and developing RESTful APIs, microservices, or other service- oriented applications. • Solid understanding of software design principles, data structures, algorithms, and distributed systems concepts. • Experience working with relational and/or NoSQL databases. • Experience designing applications that process, transform, aggregate, or serve significant volumes of data. • Experience developing backend services or APIs that support data-rich, interactive applications. • Experience building and supporting scalable, reliable production applications. • Understanding of data modeling, aggregation, filtering, querying, and other patterns commonly used in analytics applications.• Working knowledge of cloud platforms such as AWS or Azure and cloud-based application architectures. • Familiarity with automated testing, CI/CD, source control, and modern software development practices. • Strong understanding of application performance and the ability to optimize services and data access for responsive user experiences. • Strong problem-solving skills and the ability to independently investigate and resolve complex technical issues. • Strong communication and collaboration skills with the ability to work effectively across backend, frontend, data, UX, and product teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. Are you ready to make your mark? About the Role In this role, you will solve challenging frontend engineering problems involving real-time conversations, dynamic interactions and embedded experiences. As a senior technical contributor, you will influence frontend architecture and technical direction, lead complex initiatives from design through production, and help establish engineering standards and patterns that can scale across Intermedia's digital channels. What You Will Be Doing • Design, develop, test, and maintain high-quality web applications and frontend capabilities that power interactions. • Develop reusable web components and frontend capabilities that allow digital experiences to be embedded across Intermedia products and customer-facing websites. • Build responsive experiences for real-time including streaming responses, typing and processing states, long-running operations, errors, and interruptions. • Develop user experiences that clearly communicate actions, status, results, limitations, and requests for additional information. • Build interaction patterns that support rich conversational experiences beyond text, including structured content, forms, actions, links, files, and other interactive elements. • Develop experiences that support effective transitions and handoffs. • Partner with ML and backend engineers to define APIs, events, data contracts, and interaction patterns required to support digital experiences. • Collaborate closely with Product and UX to translate customer needs and design into intuitive product experiences. • Help define frontend architecture and reusable patterns digital experiences across web channels. • Design solutions that support configuration and customization of digital experiences while maintaining consistent engineering and UX standards. • Optimize applications for performance, responsiveness, scalability, and reliability across browsers, devices, network conditions, and customer environments. • Ensure digital experiences meet appropriate accessibility and inclusive design standards. • Design frontend applications with appropriate consideration for authentication, authorization, privacy, security, and protection of sensitive information. • Build appropriate analytics, telemetry, monitoring, logging, and observability into digital experiences. • Use product and operational data to identify performance issues and opportunities to improve the user experience. • Lead technical design discussions and provide guidance on complex frontend engineering decisions. • Conduct code and design reviews and help establish strong standards for frontend architecture, code quality, testing, performance, and maintainability. • Troubleshoot complex production issues spanning frontend applications, APIs, real-time interactions, and enabled experiences. • Mentor and coach engineers and contribute to raising frontend engineering capabilities across the team. • Lead complex frontend initiatives from concept and technical design through implementation, deployment, and continuous improvement. • Stay current with emerging technologies and engineering approaches related to frontend development and conversational interfaces. What You Will Bring to the Role • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 8+ years of professional software engineering experience, with significant experience developing sophisticated frontend applications. • Deep proficiency in JavaScript and/or TypeScript and modern frontend frameworks such as React or Angular. • Strong knowledge of HTML, CSS, responsive design, browser technologies, and modern web application architecture. • Demonstrated experience designing and building complex, interactive web applications used in production environments. • Strong understanding of frontend architecture, component design, state management, application performance, and maintainability. • Experience designing reusable frontend components, libraries, or application frameworks. • Experience integrating frontend applications with RESTful APIs, asynchronous services, and distributed backend systems. • Experience building real-time, asynchronous, or event-driven user experiences. • Strong understanding of automated frontend testing and modern software engineering practices. • Experience designing applications for performance, scalability, reliability, and production support. • Strong understanding of web accessibility, responsive design, browser compatibility, and frontend security. • Experience with CI/CD, source control, code reviews, observability, and modern software delivery practices. • Demonstrated ability to independently lead complex technical initiatives from design through production. • Strong problem-solving skills and the ability to navigate ambiguous and evolving technical requirements. • Experience providing technical guidance, code review, or mentorship to other engineers. • Strong communication and collaboration skills with the ability to influence technical decisions and work effectively across Product, UX, frontend, backend, ML, and platform teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Site Reliability Engineer

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. Are you ready to make your mark? About the Role In this role, you will design and build the backend services and capabilities that enable users to create, configure, test and deploy. You will work closely with frontend engineers, AI/ML engineers, product managers, UX designers, and platform teams to bring Agent Studio capabilities from concept through production. You will develop the services behind agent configuration, orchestration, integrations, testing, deployment, and lifecycle management while ensuring the platform meets enterprise expectations for performance, reliability, security, and scalability. This is a great opportunity for an experienced backend engineer who enjoys solving complex technical problems, building extensible products, and creating intuitive ways for users. What You Will Be Doing • Design, develop, test, and maintain scalable backend services and APIs • Build capabilities that enable users to create, configure, test and deploy. • Build APIs and service interfaces that enable intuitive user experiences and reliable interaction between frontend and backend services. • Develop mechanisms for managing configurations, versions, state, context, tools, permissions, and other runtime components. • Build services that enable to securely interact with Intermedia products, enterprise applications, APIs, data sources, and external services. • Collaborate closely with frontend engineers and UX teams to translate complex capabilities into intuitive product experiences. • Work with product managers to translate customer needs and requirements into scalable technical solutions. • Contribute to technical design decisions for agent orchestration, configuration management, workflow execution, integrations, and supporting backend services. • Build capabilities that allow users to test, evaluate, troubleshoot, and refine before and after deployment. • Develop reliable mechanisms for handling execution, errors, retries, timeouts, and other runtime conditions. • Design appropriate controls for authentication, authorization, permissions, and secure access to tools, models, services, and data. • Design for scalability, reliability, performance, observability, and fault tolerance across services. • Write high-quality, readable, testable code that follows established engineering standards and best practices. • Participate in code and design reviews and contribute to strong engineering and quality practices across the team. • Troubleshoot and resolve complex issues across backend services, workflows and integrations. • Build monitoring, logging, testing, and observability into production services to support reliable agent execution and product operations. • Collaborate with DevOps, and infrastructure teams to support reliable deployment and operation. • Stay current with emerging technologies and engineering approaches related backend engineering, and distributed systems. • Participate in continuous improvement initiatives that enhance product quality, reliability, developer productivity, and engineering efficiency. What You Will Bring to the Role Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 4–7 years of professional software engineering experience, with demonstrated experience developing backend applications and services. • Strong proficiency in one or more backend programming languages and associated frameworks. • Experience designing and developing RESTful APIs, microservices, or other serviceoriented applications. • Solid understanding of software design principles, data structures, algorithms, and distributed systems concepts. • Experience working with relational and/or NoSQL databases. • Experience building and supporting scalable, reliable production applications. • Experience integrating applications with internal and external APIs, services, and data sources. • Experience designing backend services that support complex, interactive product experiences. • Working knowledge of cloud platforms such as AWS or Azure and cloud-native application architectures. • Familiarity with automated testing, CI/CD, source control, and modern software development practices. • Understanding of monitoring, logging, observability, and production support practices. • Strong problem-solving skills and the ability to independently investigate and resolve complex technical issues. • Ability to work effectively in an environment where technologies, product requirements, and technical approaches are evolving rapidly. • Strong communication and collaboration skills with the ability to work effectively across backend, frontend, AI/ML, Product, UX, and platform teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Intermedia Intelligent Communications14 ч назад

Fullstack Software Developer

Location: Portugal Workplace: remote About the Role Intermedia is looking for a talented Fullstack Developer to join our DevEngineering team. In this role you will deliver features end-to-end—building backend services that compute and expose live operational metrics, and frontend experiences that visualize those metrics in real time for contact center supervisors and leaders. This is a great match if you are a motivated self-starter who’s able to dig into complex code across the stack, collaborate closely with team members, and ship solutions that directly impact our business and its customers. While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. What You Will Be Doing: Develop high-quality code that is scalable, readable, and adheres to company standards. Build and evolve frontend dashboards and backend APIs/services that support live updates and near-real-time data. Analyze and improve the efficiency, scalability, and stability of existing systems. Collaborate with stakeholders to define system requirements, integrate business logic, and refine technical solutions. Troubleshoot, debug, and upgrade existing software. Document development processes, code changes and other technical information. What You Will Bring to the Role: Bachelor’s Degree in Computer Science, or equivalent field and 4+ years of experience. Frontend experience with JavaScript/TypeScript technologies such as NodeJS, Angular/AngularJS, React , etc. Backend experience with .NET technologies , including C# and ASP.NET / ASP.NET Core . Excellent communication, presentation and written skills. A working understanding of Agile and some of its frameworks such as Scrum/SaFE/LeSS. Passion for coaching those with less experience in areas of need and view that as a great opportunity Bonus Skills Experience working on AI-powered products, assistants, virtual agents, or builder-style applications. Familiarity with design systems, component libraries, and highly reusable frontend platforms. Experience with cloud environments such as Azure or AWS in globally distributed products. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Intermedia Intelligent Communications14 ч назад

Sr. Software Developer - Data (Portugal)

Location: Portugal Workplace: remote While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open offices in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE ? Do you THRIVE in a FAST-PACED work environment? Do you wake up every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER ? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! About the Role We are looking for a talented Software Engineer with a strong focus on data to join our engineering team. This role is ideal for someone who thrives at the intersection of software engineering and data, with the skills to build high-performance, scalable microservices in Java (Spring Boot) and work deeply with SQL-based data systems. You’ll be instrumental in designing and building modern, cloud-first services that interact with large volumes of data, while also navigating and improving upon legacy systems. If you enjoy solving complex data problems through robust backend services and want to help modernize our platform, we want to hear from you. What you will be doing: Design and develop scalable microservices and APIs using Java and Spring Boot Build services that support high-volume data ingestion, processing, and access Integrate backend services with both modern cloud data platforms and legacy systems Write and optimize SQL queries and stored procedures to support application features and data pipelines Collaborate with Data Engineers, Analysts, and Product teams to deliver high-quality, well-tested solutions Ensure data integrity, availability, and performance across systems Participate in code reviews, architecture discussions, and CI/CD processes Write unit, integration, and data tests to support reliable delivery Contribute to system modernization efforts, replacing legacy components with scalable cloud-native services Deploy and manage services in containerized environments using Kubernetes and Helm What you will bring to the role: 5+ years of experience in backend software engineering or data-focused software development Strong programming skills in Java with Spring Boot for microservices development Solid understanding of SQL and relational database design, performance tuning, and data modeling Experience building and consuming RESTful APIs Familiarity with ETL/ELT concepts and data integration techniques Proficient in working with CI/CD pipelines and Git-based version control Experience with unit testing frameworks (e.g., JUnit, Mockito) and integration testing Hands-on experience deploying applications in Kubernetes environments using Helm charts Practical experience with Snowflake and dbt is desirable Exposure to cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code is a plus Knowledge of messaging or event streaming tools (e.g., Kafka, RabbitMQ) is a bonus Strong communication skills, able to collaborate across data and software engineering teams Adaptable in a hybrid environment with both legacy and modern systems A pragmatic mindset for delivering production-quality software while reducing technical debt Comfortable working with ambiguity and legacy codebases Passion for automation, performance optimization, and clean architecture Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Intermedia Intelligent Communications14 ч назад

VP, Corporate Controller

Location: United States Workplace: hybrid ABOUT INTERMEDIA Intermedia is a leading provider of Intelligent Cloud Communications, bringing together voice, video, collaboration, contact center, AI-enabled capabilities, and security into a seamless, enterprise-grade platform. Our technology helps organizations connect smarter, work better, and stay secure—leveraging intelligence and automation to improve how businesses communicate. At Intermedia, your voice matters. We move fast, hold ourselves accountable, and genuinely have each other’s backs. Many of our people have built long, meaningful careers here—10, 15, even 20+ years—because they’re challenged, trusted, and empowered to make an impact. If you thrive in a high-growth, technology-driven environment and love building world-class teams, we’d love to meet you. Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s backs! Are you ready to make your mark? What you'll do Reporting directly to the Chief Financial Officer based out of our corporate Headquarters in the Peninsula (San Francisco Bay Area), CA, the VP, Corporate Controller is responsible for leading Intermedia’s global accounting organization and ensuring the integrity of the company’s financial reporting and operations. This executive will be an integral member of the CFO’s Leadership team. You will oversee accounting, GAAP financial reporting, audit, revenue accounting and operations, internal controls, and direct/indirect tax functions. As a key member of the CFO’s leadership team, this individual will provide strategic guidance and insights that support growth, operational excellence, and enterprise-wide value-creation initiatives. What you’ll do: Lead all global accounting operations, ensuring accurate, timely, and GAAP-compliant financial reporting. Drive a disciplined monthly, quarterly, and annual close process while maintaining a strong internal control environment. Work in partnership with the VP, Finance Transformation and VP, Strategic Finance to drive to a “zero day close” Oversee external audits, regulatory compliance, and direct/indirect tax function Maintain all necessary accounting policies, systems of record, and related controls. Ensure that records are maintained in accordance with generally accepted accounting principles (GAAP) Support acquisition due diligence, integrations, and other strategic corporate initiatives Demonstrate technical accounting expertise by proactively navigating new accounting standards and implementation to enhance the usability of the Company’s GAAP financial statements Prepare annual financial projections (under GAAP) for P&L, Balance Sheet, and Cash Flow Statement, in partnership with Intermedia’s VP, Strategic Finance and FP&A team Be accountable for the development and maintenance of process documentation that will provide a foundation for AI-enabled efficiency gains across the CFO organization Partner with the CFO and Executive Leadership Team on financial strategy, business performance, and enterprise decision-wide value creation initiatives Develop and mentor a high-performing global accounting team (including FTEs, and specialist 3rd-party providers where applicable) while fostering a culture of accountability and continuous improvement What you'll bring You are a thoughtful accounting and finance leader who balances technical excellence with gravitas in how you communicate with your stakeholders. You enjoy building organizations, developing people, and improving how work gets done. You bring executive presence, strong judgment, and a continuous improvement mindset, with a passion for leveraging technology to create scalable, efficient finance operations. Proven managerial/supervisory experience, with ability to lead, guide, and mentor a team of direct reports and external 3rd-party specialist advisors Exceptional analytical, critical thinking, and problem solving skills Excellent written and verbal communication skills, with demonstrated ability to produce executive-ready written deliverables Excellent organizational skills Demonstrated experience supporting businesses through periods of rapid international expansion Intellectual curiosity, especially with respect to the application of AI, machine learning, and automation to financial, accounting, and operational processes Team player mindset; willing to pitch in as needed in support of colleagues and the broader team’s objectives and success BACKGROUND & EXPERIENCE BS/Accounting or Finance degree from a four-year accredited university CPA (inactive is fine) 15+ years progressive accounting management experience with some Big-Four experience Industry experience - Software, SaaS, Unified Communications and/or Telecom Strong expertise in U.S. GAAP, financial reporting, internal controls, and audit leadership Solid working knowledge of SOX compliance requirements Strong experience in accounting for consolidations and other business combinations Experience with international and multi-currency accounting Experience managing debt / a leveraged capital structure Experience partnering with executive leadership to support business growth and operational excellence Proven success building and developing high-performing teams Bonus points MBA or other relevant Master’s Degree Certified Management Accountant (CMA) credential A belt (of some color) in Lean Six Sigma Project Management Professional (PMP) certification Expertise in U.S. and international telecommunications, sales, and use tax matters You are able to give a compelling example of how you’ve architected a Chart of Accounts to create competitive and strategic advantage for your company Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Intermedia Intelligent Communications14 ч назад

Senior Product Manager

УдалённоseniorPortugal

Intermedia Intelligent Communications14 ч назад

Product Designer - Integrations & Flow Studios

Intermedia Intelligent Communications14 ч назад

Intermedia Intelligent Communications14 ч назад

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. Are you ready to make your mark? About the Role Intermedia is looking for a Senior Software Engineer Backend to join our organization. In this role, you will design and build the backend services, APIs, and data capabilities that power intuitive analytics, visualizations across Intermedia's products. You will help transform complex product and customer data into reliable, performant, and easily consumable information that enables users to understand trends, identify opportunities, and make better decisions. You will work closely with frontend engineers, AI/ML engineers, data engineers, product managers, and UX teams to bring sophisticated insights into compelling customer experiences. This is a great opportunity for an experienced backend engineer who enjoys solving complex data and distributed systems challenges and wants to help redefine how customers interact. What You Will Be Doing • Design, develop, test, and maintain scalable backend services and APIs that power analytics, dashboards and visualizations. • Build services that process, aggregate, enrich, and serve structured and unstructured data for interactive analytics experiences. • Develop APIs and data services optimized for efficient consumption by dashboards, visualizations, reporting interfaces, and other customer-facing experiences. • Build backend capabilities that enable users to explore, filter, compare, drill into, and understand complex datasets and insights. • Partner closely with frontend engineers and UX teams to define service interfaces and data structures that enable intuitive, responsive visualization experiences. • Work with data engineers to establish reliable data flows between source systems, analytical platforms, visualization services, and downstream applications. • Collaborate with product managers and engineering teams to translate customer and business needs into scalable technical solutions. • Contribute to technical design decisions for backend services, analytics APIs, data models, processing workflows, caching strategies, and integrations. • Design systems that deliver timely and accurate analytics while maintaining appropriate data quality and consistency. • Optimize data access, aggregation, and service performance to support responsive and interactive customer experiences. • Design backend capabilities that can support both predefined analytics experiences and more dynamic exploration of data. • Analyze and improve the performance, scalability, reliability, and maintainability of analytics services. • Write high-quality, readable, testable code that follows established engineering standards and best practices. • Participate in code and design reviews and contribute to strong engineering and quality practices across the team. • Troubleshoot and resolve complex issues across backend services, analytics workflows, data processing, and frontend integrations. • Build appropriate monitoring, logging, testing, and observability into production services. • Collaborate with DevOps and platform teams to support reliable deployment and operation of Analytics Visualizations services. • Stay current with emerging technologies and engineering approaches related to analytics, data visualization, data processing, and backend development. • Participate in continuous improvement initiatives that enhance product performance, reliability, customer experience, and engineering efficiency. What You Will Bring to the Role • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 5+ years of professional software engineering experience , with demonstrated experience developing backend applications and services. • Strong proficiency in one or more backend programming languages and associated frameworks. • Experience designing and developing RESTful APIs, microservices, or other service- oriented applications. • Solid understanding of software design principles, data structures, algorithms, and distributed systems concepts. • Experience working with relational and/or NoSQL databases. • Experience designing applications that process, transform, aggregate, or serve significant volumes of data. • Experience developing backend services or APIs that support data-rich, interactive applications. • Experience building and supporting scalable, reliable production applications. • Understanding of data modeling, aggregation, filtering, querying, and other patterns commonly used in analytics applications.• Working knowledge of cloud platforms such as AWS or Azure and cloud-based application architectures. • Familiarity with automated testing, CI/CD, source control, and modern software development practices. • Strong understanding of application performance and the ability to optimize services and data access for responsive user experiences. • Strong problem-solving skills and the ability to independently investigate and resolve complex technical issues. • Strong communication and collaboration skills with the ability to work effectively across backend, frontend, data, UX, and product teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Senior UI/UX Designer - Portals

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. Are you ready to make your mark? About the Role In this role, you will solve challenging frontend engineering problems involving real-time conversations, dynamic interactions and embedded experiences. As a senior technical contributor, you will influence frontend architecture and technical direction, lead complex initiatives from design through production, and help establish engineering standards and patterns that can scale across Intermedia's digital channels. What You Will Be Doing • Design, develop, test, and maintain high-quality web applications and frontend capabilities that power interactions. • Develop reusable web components and frontend capabilities that allow digital experiences to be embedded across Intermedia products and customer-facing websites. • Build responsive experiences for real-time including streaming responses, typing and processing states, long-running operations, errors, and interruptions. • Develop user experiences that clearly communicate actions, status, results, limitations, and requests for additional information. • Build interaction patterns that support rich conversational experiences beyond text, including structured content, forms, actions, links, files, and other interactive elements. • Develop experiences that support effective transitions and handoffs. • Partner with ML and backend engineers to define APIs, events, data contracts, and interaction patterns required to support digital experiences. • Collaborate closely with Product and UX to translate customer needs and design into intuitive product experiences. • Help define frontend architecture and reusable patterns digital experiences across web channels. • Design solutions that support configuration and customization of digital experiences while maintaining consistent engineering and UX standards. • Optimize applications for performance, responsiveness, scalability, and reliability across browsers, devices, network conditions, and customer environments. • Ensure digital experiences meet appropriate accessibility and inclusive design standards. • Design frontend applications with appropriate consideration for authentication, authorization, privacy, security, and protection of sensitive information. • Build appropriate analytics, telemetry, monitoring, logging, and observability into digital experiences. • Use product and operational data to identify performance issues and opportunities to improve the user experience. • Lead technical design discussions and provide guidance on complex frontend engineering decisions. • Conduct code and design reviews and help establish strong standards for frontend architecture, code quality, testing, performance, and maintainability. • Troubleshoot complex production issues spanning frontend applications, APIs, real-time interactions, and enabled experiences. • Mentor and coach engineers and contribute to raising frontend engineering capabilities across the team. • Lead complex frontend initiatives from concept and technical design through implementation, deployment, and continuous improvement. • Stay current with emerging technologies and engineering approaches related to frontend development and conversational interfaces. What You Will Bring to the Role • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 8+ years of professional software engineering experience, with significant experience developing sophisticated frontend applications. • Deep proficiency in JavaScript and/or TypeScript and modern frontend frameworks such as React or Angular. • Strong knowledge of HTML, CSS, responsive design, browser technologies, and modern web application architecture. • Demonstrated experience designing and building complex, interactive web applications used in production environments. • Strong understanding of frontend architecture, component design, state management, application performance, and maintainability. • Experience designing reusable frontend components, libraries, or application frameworks. • Experience integrating frontend applications with RESTful APIs, asynchronous services, and distributed backend systems. • Experience building real-time, asynchronous, or event-driven user experiences. • Strong understanding of automated frontend testing and modern software engineering practices. • Experience designing applications for performance, scalability, reliability, and production support. • Strong understanding of web accessibility, responsive design, browser compatibility, and frontend security. • Experience with CI/CD, source control, code reviews, observability, and modern software delivery practices. • Demonstrated ability to independently lead complex technical initiatives from design through production. • Strong problem-solving skills and the ability to navigate ambiguous and evolving technical requirements. • Experience providing technical guidance, code review, or mentorship to other engineers. • Strong communication and collaboration skills with the ability to influence technical decisions and work effectively across Product, UX, frontend, backend, ML, and platform teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Intermedia Intelligent Communications14 ч назад

Senior UI/UX Designer (AI Assistants & Digital Agents)

Intermedia Intelligent Communications14 ч назад

Senior UI/UX Designer

Intermedia Intelligent Communications14 ч назад

Site Reliability Engineer

Intermedia Intelligent Communications14 ч назад

Intermedia Intelligent Communications14 ч назад

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. Are you ready to make your mark? About the Role In this role, you will solve challenging frontend engineering problems involving real-time conversations, dynamic interactions and embedded experiences. As a senior technical contributor, you will influence frontend architecture and technical direction, lead complex initiatives from design through production, and help establish engineering standards and patterns that can scale across Intermedia's digital channels. What You Will Be Doing • Design, develop, test, and maintain high-quality web applications and frontend capabilities that power interactions. • Develop reusable web components and frontend capabilities that allow digital experiences to be embedded across Intermedia products and customer-facing websites. • Build responsive experiences for real-time including streaming responses, typing and processing states, long-running operations, errors, and interruptions. • Develop user experiences that clearly communicate actions, status, results, limitations, and requests for additional information. • Build interaction patterns that support rich conversational experiences beyond text, including structured content, forms, actions, links, files, and other interactive elements. • Develop experiences that support effective transitions and handoffs. • Partner with ML and backend engineers to define APIs, events, data contracts, and interaction patterns required to support digital experiences. • Collaborate closely with Product and UX to translate customer needs and design into intuitive product experiences. • Help define frontend architecture and reusable patterns digital experiences across web channels. • Design solutions that support configuration and customization of digital experiences while maintaining consistent engineering and UX standards. • Optimize applications for performance, responsiveness, scalability, and reliability across browsers, devices, network conditions, and customer environments. • Ensure digital experiences meet appropriate accessibility and inclusive design standards. • Design frontend applications with appropriate consideration for authentication, authorization, privacy, security, and protection of sensitive information. • Build appropriate analytics, telemetry, monitoring, logging, and observability into digital experiences. • Use product and operational data to identify performance issues and opportunities to improve the user experience. • Lead technical design discussions and provide guidance on complex frontend engineering decisions. • Conduct code and design reviews and help establish strong standards for frontend architecture, code quality, testing, performance, and maintainability. • Troubleshoot complex production issues spanning frontend applications, APIs, real-time interactions, and enabled experiences. • Mentor and coach engineers and contribute to raising frontend engineering capabilities across the team. • Lead complex frontend initiatives from concept and technical design through implementation, deployment, and continuous improvement. • Stay current with emerging technologies and engineering approaches related to frontend development and conversational interfaces. What You Will Bring to the Role • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 8+ years of professional software engineering experience, with significant experience developing sophisticated frontend applications. • Deep proficiency in JavaScript and/or TypeScript and modern frontend frameworks such as React or Angular. • Strong knowledge of HTML, CSS, responsive design, browser technologies, and modern web application architecture. • Demonstrated experience designing and building complex, interactive web applications used in production environments. • Strong understanding of frontend architecture, component design, state management, application performance, and maintainability. • Experience designing reusable frontend components, libraries, or application frameworks. • Experience integrating frontend applications with RESTful APIs, asynchronous services, and distributed backend systems. • Experience building real-time, asynchronous, or event-driven user experiences. • Strong understanding of automated frontend testing and modern software engineering practices. • Experience designing applications for performance, scalability, reliability, and production support. • Strong understanding of web accessibility, responsive design, browser compatibility, and frontend security. • Experience with CI/CD, source control, code reviews, observability, and modern software delivery practices. • Demonstrated ability to independently lead complex technical initiatives from design through production. • Strong problem-solving skills and the ability to navigate ambiguous and evolving technical requirements. • Experience providing technical guidance, code review, or mentorship to other engineers. • Strong communication and collaboration skills with the ability to influence technical decisions and work effectively across Product, UX, frontend, backend, ML, and platform teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Intermedia Intelligent Communications14 ч назад