Вакансии

The Full-Stack Platform Engineer provides senior technical leadership and hands-on engineering for a secure enterprise data analytics platform supporting a federal environment.

- Разработка, обучение и улучшение ML-моделей для решения NLP- задач; - Решение задач классификации и извлечения сущностей (NER);

Location: Spain; Poland At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence and enable them to take ownership and contribute at every level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Staff Full-Stack Software Engineer with strong AI expertise to join our team and contribute to the development of complex, large-scale technology solutions for our international client. About the project Our client, Blackhawk Network (BHN) , is a global leader in branded payments, gift cards, and digital commerce solutions. The company operates a large ecosystem of platforms and services supporting gift card issuance, distribution, payment processing, redemption, and reloads. Its portfolio also includes digital gift cards, incentives, rewards, promotional products, and various digital payment solutions. BHN develops and maintains multiple e-commerce platforms and core services that power the management and distribution of these products across a complex international ecosystem. You will have the opportunity to work in a large-scale engineering environment, collaborating with distributed teams across the United States, India, and EU locations. About the role As a Staff Full-Stack Software Engineer , you will play a key technical role in designing, developing, and evolving scalable software solutions. This is a highly hands-on engineering position that combines deep technical expertise, architectural thinking, and the ability to influence engineering decisions across multiple teams. We are looking for an engineer who can confidently navigate complex technical challenges, take ownership of end-to-end solutions, and contribute to the adoption of modern engineering practices, including AI-driven technologies. Technology flexibility is important to us. While experience with JavaScript/TypeScript ecosystems or Java is preferred, we are open to engineers with strong expertise in other modern technology stacks. As a qualified expert You will Design, develop, and maintain scalable, reliable, and high-performance full-stack applications and services. Take technical ownership of complex engineering initiatives, from solution design and architectural decisions to implementation and delivery. Contribute to system architecture, ensuring scalability, maintainability, security, and long-term technical sustainability. Work hands-on across frontend, backend, APIs, integrations, and cloud-based components. Collaborate with engineering teams to identify technical challenges, evaluate trade-offs, and implement effective solutions. Explore and apply AI technologies and AI-assisted engineering practices to improve development efficiency, solution quality, and product capabilities. Provide technical guidance, share engineering best practices, and support other engineers in solving complex problems. Drive improvements in code quality, engineering standards, system performance, and development processes. Collaborate closely with product managers, architects, engineers, and business stakeholders to translate requirements into effective technical solutions. Communicate architectural decisions and technical trade-offs clearly to both technical and non-technical audiences. Work effectively with geographically distributed, cross-functional teams in a multicultural environment. We're looking for you if you have Technical expertise Extensive hands-on experience in software engineering, with a strong background in full-stack application development. Deep understanding of software architecture, system design, design patterns, and engineering best practices. Proven ability to design and deliver complex, scalable, and maintainable software solutions. Strong proficiency in modern backend and frontend technologies. Experience with Node.js, TypeScript, JavaScript, React, Next.js, or Java is preferred, but other technology stacks are welcome. Solid experience with API design, distributed systems, service integrations, and modern application architectures. Good understanding of AWS cloud infrastructure, services, and cloud-native application development. Experience working with complex systems in large-scale engineering environments. Strong problem-solving skills and the ability to make independent, well-reasoned technical decisions. Ability to balance hands-on implementation with broader architectural and technical responsibilities. AI expertise Strong practical understanding of modern AI technologies, their capabilities, limitations, and potential applications in software engineering. Hands-on experience applying AI technologies or advanced AI-assisted development approaches to real engineering challenges. Familiarity with LLMs, generative AI technologies, and modern AI development tools and frameworks. Ability to evaluate opportunities for AI adoption, identify appropriate use cases, and assess technical feasibility. Understanding of how AI can be incorporated into software development workflows or product functionality to deliver measurable value. Communication and leadership Excellent communication and interpersonal skills, with the ability to collaborate effectively across multiple teams and disciplines. Proven experience working with distributed, international, and multicultural engineering teams. Ability to communicate effectively with stakeholders at different levels, including engineers, architects, product teams, and business representatives. Strong technical leadership skills, including the ability to influence architectural decisions, facilitate technical discussions, and drive alignment across teams. Proactive mindset, strong ownership, accountability, and the ability to work independently in a complex organizational environment. Ability to navigate ambiguity, manage competing priorities, and build productive relationships across teams. Upper-Intermediate (B2+) English or higher , with confidence in technical discussions and stakeholder communication. Bonus Points Experience working with large enterprise platforms, e-commerce systems, digital payments, or fintech solutions. Experience with AI-powered product features, LLM integrations, RAG architectures, or other applied AI solutions. Experience optimizing engineering processes through AI-powered automation. Experience contributing to architecture and technical strategy across multiple engineering teams. Previous experience in a Staff Engineer, Principal Engineer, or similar technical leadership role. What's in it for You Reveal great tech solutions. Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment. Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth. Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about. Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with Recruiter Technical Interview Managerial Interview Client Interview

Мы в Maxilect ищем Python-разработчика для создания решений на базе LLM. Предстоит проектировать и развивать сервисы, интегрировать языковые модели и использовать coding-агентов в ежедневной разработке.

- Создание полноценных продуктов и приложений с помощью AI — от идеи до запуска.

Чем предстоит заниматься. Проектировать архитектуру и ключевые технические решения;

-Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом.

Location: Indonesia; Nigeria; Turkey; United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Мы ищем Junior Data Engineer, который готов погрузиться в существующую инфраструктуру аналитики: разбираться в коде, оптимизировать пайплайны, исправлять баги и добавлять новые процессы.

Location: Москва Workplace: Комбинированный Мы развиваем пользовательские AI-сценарии в Дзене: помогаем людям находить нужную информацию, разбираться в событиях и получать персонализированный контент. Один из ключевых фокусов — развитие поиска: делаем его полезнее, точнее и удобнее, в том числе с помощью AI. Задачи Развивать пользовательские сценарии поиска и AI-функции в Дзене: находить точки роста, формировать продуктовое видение и определять приоритеты развития Изучать потребности и поведение пользователей, анализировать обратную связь, данные и решения конкурентов, выявлять возможности для улучшения поиска и применения ИИ в продукте Прорабатывать поисковые и AI-сценарии: от понимания пользовательской задачи и формирования концепции до требований, запуска и оценки результата Формулировать и проверять продуктовые гипотезы, определять приоритеты, управлять backlog и координировать реализацию решений совместно с разработкой, дизайном, аналитикой и ML-командой Определять метрики успеха, проводить A/B-тесты и оценивать влияние изменений на качество поиска, успешность решения пользовательских задач, вовлечённость и возвращаемость пользователей Требования Мы ожидаем, что ты: Имеешь опыт продуктового управления от нескольких лет и умеешь самостоятельно вести продуктовые задачи или направления от идеи до измеримого результата Умеешь находить пользовательские проблемы и продуктовые возможности, формулировать гипотезы, определять приоритеты и обосновывать решения данными Понимаешь принципы продуктовой аналитики, умеешь работать с метриками и оценивать результаты экспериментов, включая A/B-тесты Умеешь работать на стыке продукта, разработки, аналитики и ML: формулировать понятные требования, обсуждать ограничения и договариваться о решениях с командой Способен разбираться в сложных и неоднозначных задачах, самостоятельно предлагать варианты решения и доводить их до результата Интересуешься AI-продуктами, понимаешь возможности и ограничения LLM, в том числе фактические ошибки, актуальность информации и непредсказуемость ответов Будет плюсом Понимание принципов работы информационного поиска, основных метрик качества поиска и подходов к оценке релевантности результатов Опыт работы с ML-продуктами, рекомендательными системами или контентными платформами Понимание принципов работы LLM, промптинга, RAG и применения генеративного ИИ в пользовательских сценариях Владение SQL и инструментами продуктовой аналитики Опыт проведения пользовательских исследований и оценки качества поисковых или AI-функций

-Проектировать, разрабатывать и оптимизировать ML-пайплайны: от подготовки данных и обучения моделей до внедрения в production. -Разрабатывать и дообучать ML/NLP-модели под продуктовые задачи.

Senior Fullstack Engineer для подписочного AI-продукта. Опыт коммерческой разработки от 4 лет, обязательно с опытом работы в продуктовой компании.

-Создавать продукты и новые функции с помощью AI — от идеи и выбора решения до работающего результата. -Использовать AI-инструменты как основной способ разработки: генерировать код, проверять и дорабатывать его, тестировать функциональность.

Location: Ukraine; Spain; Serbia; Yerevan; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

💎 SR ищет Backend Developer, для которого Claude Code — основная рабочая среда: он быстро строит с AI, но проверяет и отвечает за последствия AI-кодинга.

Strikt ищет DevOps Engineer уровня Middle на частичную занятость.

-От 4 лет коммерческой разработки, из них не менее 2 лет на Go. -Go: HTTP и gRPC API, конкурентность, тестирование.