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Senior Python AI Developer

EPAMLyon, France
Work model
Hybrid
Experience
2+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
22 tags

Technology context

22

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Role description

We're looking for a Senior Python AI Developer to join our team in Lyon, France, in a hybrid working mode. In this role, you will design and implement robust AI-driven solutions that drive innovation and enhance technical capabilities. This is an opportunity to work on impactful projects involving Generative AI, large language models (LLMs) and advanced automation, helping our clients transform their businesses and stay at the forefront of technological advancements.

Responsibilities

  • 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

Requirements

  • 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