Senior Python AI Developer

• Design, build and maintain production-ready AI agents and Generative AI features using Python
• Develop and validate scalable LLM frameworks, including RAG, embeddings, vector stores, tool integration and orchestration
• Prototype and test new AI use cases, transitioning them into stable production features
• Integrate LLMs, retrieval systems, vector databases and external APIs into end-to-end workflows
• Ensure robust deployment, monitoring and continuous improvement of AI components across environments
• Apply engineering best practices such as testing, CI/CD for AI pipelines, performance optimization and version control, * Life & Private medical insurance (50% of monthly cost covered by EPAM, including dental and vision insurance)
• Pension fund
• Employee Stock Purchase Plan (ESPP) (subject to eligibility requirements)
• Navigo (Ground transportation allowance, 50% of the monthly cost covered by EPAM)
• Monthly Afterwork organized by the HR Team
• EPAM Referral Program
• Remote Work (under Business & Management approval)
• IT Equipment (Laptop (HP or MacBook, according to eligibility criteria), headphones, mouse, professional phone with monthly subscription fees covered by EPAM)
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses

• 5+ years of professional experience as a Software Engineer, Data Engineer or ML Engineer, including at least 2 years of hands-on Generative AI work
• Solid general Python programming skills, applied to backend development, AI workflows and API integrations
• Hands-on experience with LLM APIs, including prompt engineering and LLM application development
• Working knowledge of LangGraph or LangChain
• Experience building multi-agent systems and RAG solutions
• General understanding of how to evaluate and test non-deterministic systems
• Professional working proficiency in French

Nice to have

• Proficiency with Azure GenAI stack (Azure OpenAI Service, Azure AI Search, Cognitive Services)
• Experience with enterprise-grade production AI systems, including CI/CD, monitoring and performance tuning
• Knowledge of financial or trading environments

• 25 days of paid leave per year + reduction of the working time (RTT days, number depending on the year)