Senior Python AI Developer

We're looking for a 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), multi-agent systems 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 implementations, embeddings, vector stores, tool integration and orchestration Build and deploy multi-agent systems in production, leveraging common agent frameworks such as CrewAI, LangGraph, LangChain or LlamaIndex Implement agent tracing and observability practices for monitoring and debugging Prototype and test new AI use cases, transitioning them into stable production features for enterprise environments 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 7+ years of professional experience as a Software Engineer, Data Engineer or ML Engineer, with hands-on Generative AI work in the last 1-2 years Strong proficiency in Python for backend development, AI workflows and API integrations, along with solid SQL skills Hands-on experience working with LLM APIs, including prompt engineering, orchestration and LLM application development Proven expertise in RAG architecture, embeddings and vector database integration Demonstrated multi-agent experience in production environments Familiarity with common agent frameworks: CrewAI, LangGraph, LangChain, LlamaIndex Ability to implement agent tracing techniques for workflow observability Proficiency with Azure GenAI stack (Azure OpenAI Service, Azure AI Search, Cognitive Services) Proven experience in building enterprise-grade, production AI systems focused on scalability, maintainability and reliability Strong foundational engineering skills: testing, monitoring, CI/CD, performance tuning and code quality Nice to have Knowledge of financial or trading environments Familiarity with cloud platforms and containerization for AI deployments Ability to create technical documentation, solution diagrams and architecture blueprints