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Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are looking for Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work. RESPONSIBILITIES - Benchmarking: Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving). - DevEx Improvement: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation. - Tool Development: Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis. - System Profiling: Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack. - Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance. - Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions and build release workflow automation for the model runtimes stack. - Optimization Automation: Build tools to find the "Pareto frontier"—identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload. REQUIREMENTS This is a mid-senior, high leverage role. We care about your technical depth, strong communication skills to drive cross-team efforts, ability to navigate vague requirements and mentor other engineers. We want to talk to you if you have: - A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster. - An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the "breaking point" of a system. - Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements. - Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have. WHY THIS ROLE - Direct Impact: Your tools will be the gatekeeper for what defines "good" performance for our customers. - Deep Learning (Literally): You will gain world-class expertise in GPU orchestration and LLM inference that few engineers in the industry possess. - High Ownership: As the lead of a small team, you will have the autonomy to build tools from scratch and contribute to open-source projects. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Senior AI Engineer with strong LLM and product engineering experience to join our AI Platform team and help ship the AI-driven features across our app — including personalized in-app content recommendations, conversational AI-powered insights, and AI-generated mobile push notifications. You will focus on the product-facing behavior of our GenAI features (relevance, quality, latency, and safety), using the platform’s judges, fine-tuning pipelines, and evaluation tools, and contributing to infrastructure work (Databricks, AWS, Terraform) as initiatives require it. What you’ll do Feature development: build and ship LLM-powered product features, including AI-generated mobile push notifications, personalized in-app content recommendations and custom user journeys, and conversational AI-powered insights — including structured output such as charts and widgets Latency and UX: reduce perceived and actual response latency through streaming, pregeneration, and inference-time tradeoffs, working closely with product and design on how AI output is experienced by users Prompt and model behavior: iterate on prompt design and calibration, use fine-tuned health-domain models (Llama, Gemma, MedGemma) where relevant, and work with the Judge-as-a-Service ecosystem to keep outputs safe and high quality Experimentation: help enable A/B testing for model and prompt changes, using evaluation gates to ship safely and measure impact Data and evaluation: contribute to synthetic Q&A generation, golden test sets, and evaluation dataset design that supports the features you’re building Infrastructure: contribute to Databricks, AWS (EKS), Terraform, or CI/CD work as initiatives require it Cross-functional impact: collaborate with Product, Security, Analytics, and Medical teams, and engage with technology partners (Databricks, Google, OpenAI, Anthropic, AWS) on pre-release capabilities relevant to your features Experience and skills Must have: 7+ years of software engineering, with recent hands-on experience building product features backed by LLMs experience with at least one of: prompt engineering, LLM evaluation, fine-tuning, or model serving strong Python, and comfort working with APIs/SDKs that wrap LLM calls, prompt templates, and structured outputs product sensibility: a track record of shipping user-facing features, with attention to latency, tone, and quality of AI output as experienced by end users comfort picking up new infrastructure tools (Databricks, AWS, Terraform, GitHub Actions) as needed — deep prior expertise not required Nice to have: LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation) prompt optimisation frameworks (DSPy or similar) feature stores or personalization/ranking experience (relevant to in-app content recommendation work) healthcare, regulated-industry, or safety-critical AI systems experience data engineering fundamentals (Spark, Delta tables, Parquet) #LI-KP1 #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £120,000 — £180,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Montreal Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities: Design and develop full-stack applications that power GenAI applications and platforms Develop and maintain frontend applications using Next.js with API routes. Design and implement visually appealing and responsive user interfaces using Tailwind CSS / Shadcn or other CSS libraries. Write clean, efficient, and scalable code in Python and TypeScript . Work with various libraries or frameworks based on project requirements. Be up-to-date with latest happenings in AI and Associated AI tools, technologies and frameworks (e.g. MCP, Agentic systems) Build APIs and infrastructure to support LLM-based features, tools, and agent workflows. Collaborate with frontend, ML, and product teams to create seamless AI experiences. Optimize backend systems for performance, scalability, and reliability. Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.) Maintain clean, secure, and production-grade code Qualifications & Skills: 1–3 years of experience in full-stack development. Proficient in Python and Typescript. Strong experience with REST APIs, microservices, and scalable cloud infrastructure. Experience building or supporting GenAI applications and/or LLM-powered products. Comfortable working with and building Agentic systems (e.g. building custom Lovable or Claude Code for custom applications) Exposure to cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Excellent problem-solving, communication, and collaboration skills Nice to Have: Experience building and scaling AI-powered SaaS products Contributions to open-source GenAI projects Understanding of context engineering and agent orchestration frameworks Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Full Stack AI Engineer, we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds

Location: Riyadh, Saudi Arabia Müller's Solutions is looking for a passionate and knowledgeable AI Specialist to join our team. In this role, you will be responsible for researching, developing, and implementing AI solutions that address specific business challenges. You will work closely with other departments and stakeholders to identify areas where AI can enhance operations and improve decision-making processes. Key Responsibilities: • Work closely with clients to comprehend their business challenges and discover opportunities for AI-enhanced solutions. • Convert client requirements into technical problem statements and implementable project strategies. • Clearly articulate intricate AI and data insights in a manner that is understandable to non-technical stakeholders. • Transform analytical results into valuable business insights and strategic recommendations. • Create engaging visualizations, reports, and presentations to aid client decision-making. • Keep abreast of new AI technologies (such as GenAI, large language models, and computer vision) and evaluate their relevance to business needs. • Engage in workshops, training sessions, and client demonstrations to showcase AI capabilities. • Capable of designing AI use cases that align with the business needs of clients. • Collaborate with clients to tackle complex business challenges and create AI-driven solutions that yield measurable returns on investment. Requirements • Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related disciplines. • Proficient in analyzing data and recognizing patterns. • Experience in predictive modeling and analytics driven by artificial intelligence. • Strong critical thinking skills with a hypothesis-based methodology. • Effective communication skills and ability to foster relationships. Benefits Why Join Us: Competitive salary + performance-based incentives . Be part of a fast-growing AI consulting leader in the MENA region. Work on high-impact projects with governments and top enterprises. Career growth opportunities in AI and digital transformation leadership . Collaborative, innovative, and entrepreneurial culture.

Location: Home based - EMEA Be the voice of Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We’re looking for an energetic and creative Senior Communications Manager with experience in analyst relations (AR) to join our communications team. The ideal person for this role will drive communications strategy through the analyst relations channel in order to increase Canonical’s visibility among industry influencers and shape market perception. Canonical serves a diverse customer base, ranging from end users to startups, large enterprises and governments. Our portfolio is broad in scope and in reach. The ideal candidate is passionate about technology, curious about shaping the evolving AR field, and relishes the challenge of communicating a diverse product range based on trusted open source. The AR field is becoming increasingly data-driven. Market research is also changing as a discipline thanks to AI models. As the voice of Canonical towards analysts and industry influencers, you will define and implement a strategy for data-driven engagement across portfolio areas, building on key narratives, developing new ones, and establishing relationships to advance our position across markets and foster long-term brand equity. This role will involve close partnership with the Product Management function within the company, as well as the Alliances, Sales and Marketing teams, to communicate key product news and announcements and manage perception of Canonical and its range of products among analysts. You will have the opportunity to shape the AR field in the company and help our organization stay ahead of the curve using technologies like AI to conduct market research and assess market perception, delivering insights to the business. This is a senior position and sits in the communications team reporting to the Director of Communications. Location: This role will be based remotely in the EMEA region. What your day will look like Prepare and execute analyst-focused communications plans for product announcements, new partnerships and other initiatives in line with our go-to-market strategy Proactively look for ways to use new technologies like AI to analyze market trends and assess analyst perception and sentiment of Canonical and its products Understand GenAI platforms developed by analyst firms and ensure they contain the right information about Canonical’s portfolio Craft and deliver compelling narratives about Canonical and its products in line with our company vision Manage analyst relationships directly, coordinating touchpoints throughout the year both through online briefings and industry events Measure the impact of the AR program, reporting regularly on progress to leadership, implementing the necessary tooling to improve collaboration and managing spend Proactively position the company in key analyst reports to drive recommendations and strengthen the company’s brand Support the Director of Communications on Corporate Communications initiatives What we are looking for in you Extensive experience in communications with proven achievements in the AR field and market research Experience managing technology communications (agency or in-house) or global AR programs A track record of delivering innovative and successful communications campaigns in the technology space, and enhancing company positioning through AR programs Experience in cloud/SaaS/open source technology An analytical eye and the ability to develop measurement frameworks to inform decision making at leadership level Exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams to ensure alignment between campaign objectives and PR/AR initiatives Excellent verbal and written communication skills Proven ability to prioritize and differentiate what matters from the noise, meeting deadlines without sacrificing quality Affinity for planning is a must, experience with project management tools like Jira is an advantage Background in product management or product marketing is a plus Willingness to travel up to 4 times a year for internal events What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner. 🏠Fully remote working environment - we’ve been working remotely since 2004! 📚Personal learning and development budget of 2,000USD per annum 💰Annual compensation review 🏆Recognition rewards 🏝 Annual holiday leave 👶Parental Leave 🧑‍💼Employee Assistance Programme 🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’ ✈️Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Responsibilities: Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends You may be a good fit if you: Have 5+ years of experience in full life cycle recruiting supporting technical research teams Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities Possess strong technical aptitude with the ability to understand and evaluate technical qualifications Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment Strong candidates may also: Bring a deep interest in AI safety research Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have experience with academic recruitment and research communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $175,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Job Summary: As a Senior  AI Solutions Architect at Neo4j, you will drive transformative change by designing, building, and deploying innovative solutions that combine the power of graph databases and AI. You'll work hands-on to develop scalable, production-grade solutions while acting as a trusted advisor to strategic customers, translating complex data challenges into tangible business value. This involves collaborating closely with customer executives and technical leaders to understand their specific needs and then leveraging your expertise in graph technologies, LLMs, and AI orchestration frameworks to develop bespoke, production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs. Providing hands-on consulting and technical expertise for customer engagements will be central to your role. You'll collaborate with Neo4j's most strategic customers on projects that revolutionize their businesses. You'll also collaborate with key Neo4j cloud partners to deliver joint consulting services, offering technical guidance and best practices. Key Responsibilities: Solution Architecting: You will work with customer technical leads, customer executives, and partners to manage and deliver successful implementations of Graph+GenAI solutions becoming a trusted advisor to decision-makers throughout the engagement. You will propose solution architectures and manage the deployment of Graph+GenAI solutions according to complex customer requirements and implementation best practices. You will work directly with customers to understand their business objectives and translate them into AI-powered solutions that leverage graph databases and LLMs. This includes gathering requirements, understanding existing data landscapes, and identifying opportunities to apply graph-based AI to solve business challenges. You will interact with customer stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful customer outcomes. Solution Engineering: You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and scalability, and ensuring seamless integration with customer systems. Continuously evaluate and improve the performance, scalability, and efficiency of deployed AI applications, incorporating new techniques and technologies as they emerge. Education & Enablement: You will work with other teams at Neo4j (Product and Marketing) to influence the roadmap and provide insights from the field, and package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. You will share your expertise internally with other Neo4j teams and also with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver. Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies. Required Qualifications: Enterprise Application Development : 5+ years of experience in designing and developing enterprise-class applications, demonstrating a strong understanding of software development lifecycle principles. LLM Proficiency : 2+ years of Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI’s GPT and O families, Anthropic’s Claude family, Google’s Gemini, xAI’s Grok, as well as open-source LLMs like LLama, DeepSeek, and Mistral). Programming Proficiency : Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, or C#. Ability to write clean, maintainable, and efficient code is essential. Deployment and Version Control : Hands-on experience with deployment software on major platforms, such as Linux, Docker, and Kubernetes, and proficiency in source control software, including Git and SVN. Cloud Computing Expertise : Practical experience with cloud platforms (e.g., AWS, Azure, GCP) and demonstrated proficiency in deploying applications within cloud environments. Generative AI Ecosystem Knowledge : Deep understanding of the generative AI ecosystem, including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL and NoSQL). Graph Database Expertise : Deep understanding of graph database concepts, data modeling, and query languages (e.g., Cypher). Demonstrate hands-on experience with graph databases (e.g., Neo4j, Neptune, TigerGraph) or triple stores (e.g., Ontotext, Stardog). Communication and Collaboration Skills : Excellent communication and interpersonal skills to effectively collaborate with customers and internal teams, fostering strong working relationships. Problem-Solving and Analytical Abilities : Strong analytical and problem-solving abilities to address complex technical challenges and design effective AI solutions. You will have the ability to travel up to 50% of the time for customer engagements. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: United Kingdom Workplace: remote About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you'll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you'll join our global contributor network. When a project aligns with your skills and availability, we'll reach out with all the details, including scope, timeline, and compensation.   What You'll Need - Native or near-native fluency in English - Based in: United Kingdom - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI. Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you'll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬 Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com .

Location: Lagos, Nigeria Who we are Renmoney is a digital finance company on a mission to make financial inclusion simple and human. We provide easy-to-access loans, savings, and financial services to individuals and small businesses across Nigeria. We’re entering a new phase of digital-led growth, powered by data, AI, and customer-centric innovation - and marketing is at the heart of that journey. We are the place for you, if: You’re excited about technology and the future, and you’re looking for a place to learn and grow. You care a lot about detail and pride yourself in impeccable execution. You are adept at identifying, assessing, mitigating, monitoring and reporting risks, and ensuring controls are working effectively. You are ready to work extremely hard, at a fast pace, to achieve audacious goals. You love to speak up, ask questions and are comfortable challenging anyone or any idea. The position We’re looking for a modern, AI-first Motion/Video Designer to craft compelling visual content that engages our customers, explains our products, and drives performance. This is not a traditional design role - we want someone who’s deeply familiar with generative AI tools, understands what performs in digital channels, and can deliver high-quality videos fast. You’ll own video production across ads, explainers, product demos, onboarding journeys, and internal campaigns. You’ll work closely with marketing, product, content, and brand teams to tell stories that resonate - while scaling creative output through AI-powered workflows. What you’ll do Design and animate short- and long-form video content across paid, owned, and internal channels Use GenAI tools (Runway, Pika, Midjourney, Sora, ElevenLabs, etc.) for ideation, scripting, editing, voiceover, and localization Develop templates and scalable video systems for rapid content production Collaborate with brand, product marketing, and growth teams to align creative with campaign goals Produce explainers and visual assets that simplify complex financial concepts and drive customer understanding Continuously test and optimize video performance across engagement, CTR, conversion, and retention metrics Stay ahead of creative and platform trends across YouTube, Instagram, TikTok, and beyond. Requirements 3+ years of hands-on experience in motion design and video content creation Proven portfolio of product explainers, social video, ad creatives, and short-form content Demonstrated use of AI tools in real-world creative workflows (submit examples with outcomes) Proficiency in Adobe After Effects, Premiere Pro, Final Cut, or equivalent Deep curiosity and hands-on experience with AI platforms like Runway, ElevenLabs, Midjourney, Pika, Sora, etc. Strong storytelling instincts, understanding of animation timing, and sound design Experience working cross-functionally with brand, content, and performance teams Bonus: 3D animation, scripting, sound editing, or mobile UI animation Benefits What’s in it for you Creative ownership across one of the most strategic marketing channels: motion/video Opportunity to build an AI-native design process that defines the future of Renmoney’s brand Collaborative, fast-paced team culture with room to experiment and grow Access to the latest generative AI tools and workflows Competitive salary, benefits, and hybrid working environment

Location: Prague Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback Communicating with fellow data scientists, product owners, and developers Applying best software engineering practices to build a reliable codebase Performing code reviews Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: 4+ years of experience in AI,  Data Science, and Machine learning Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics Experience in building complex multipart and multistep LLM-based and ML systems Proficiency in Python (including pure Python, and not only jupyter notebooks) Experience in using reproducible research techniques Experience in developing AI solutions for production usage Full professional proficiency in English Standout Qualities: Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation Confident statistical and machine learning skills Experience in creating core AI systems that are foundational to the product and are used in many parts of it Experience in classical software development and architecture Interpersonal skills: Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. You are proactively pushing yourself to develop your skills and knowledge Decision making and argumentation skills Open to feedback and ready to react on it Ability to work autonomously on a project level Our Work Style: Code: Python, Jupyter, mypy, uv, black, flake8 Data: pandas, SQL, BigQuery GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) ML: scikit-learn, lightgbm, pytorch Cloud: GCP, Dagster, MLFlow Coding Agents: Claude Code, Codex, Cursor Team Dynamics: As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Hybrid Working Model Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Limassol; Athens; Nicosia; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role: This is a great opportunity for you to work in a technology driven environment in close collaboration with skilled and passionate professionals, who utilize the best practices and cutting-edge technologies. You will be working on challenging projects that involve multithreading and high performance, security and scalable microservices. You will get every chance to share your opinions and grow professionally. Our technical stack includes, but is not limited to; AWS Cloud Services, Terraform, REST API and gRPC The main responsibilities of the position include: Write clean, simple, maintainable and testable code Design, implement and maintain cloud-based services and APIs Monitor, troubleshoot and debug applications Participate and run code reviews Follow emerging technologies and frameworks Main requirements: BSc/MSc in Computer Science, Engineering, or any other relevant degree In-depth experience with Go. Experience in other programming languages is considered a plus In-depth experience with REST service designs Experience with monitoring, logging and tracing systems Experience with GenAi will be considered as a plus Proven experience using SQL and NoSQL databases Very good knowledge of programming best practices and design patterns Experience using systems and tools for automating deployment, scaling, and management of containerized applications for production service deployments Good understanding of algorithmic complexity, data structures and multi-threading concepts Knowledge of AWS Cloud Services is considered a plus A keen interest in benchmarking and optimization Contributions in open source projects are considered a plus Strong teamwork skills with a problem-solving attitude and interest in personal development Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities Attractive relocation package and support for a smooth relocation for you and your family The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.