Les missions du poste
Important informationContract type: Permanent contractSalary: 75000Location: Paris, FranceStarting date:UrgentWork mode: HybridPublished on: 7 July 2026What they needYou will be responsible for the technical vision and implementation of the AI algorithms that enable the copilot to understand, reason, and reliably answer users' business-related questions.You will work hand-in-hand with the other tech leads and product leads to define and execute the product's overall technical strategy.Define and drive the AI strategy: design the technical roadmap around RAG, semantic search, language models (LLMs), agent orchestration (LangGraph, etc.), and answer quality.Lead and grow the team (MLEs, data scientists, data engineers): pair programming, code reviews, mentoring, hiring, and establishing best practices.Design and industrialize AI pipelines: ingestion, vectorization, indexing, fine-tuning, evaluation, and model monitoring.Strong understanding of LLM behavior, prompt-engineering techniques, and strategies for orchestrating multi-step AI agentsAbility to connect AI agents with external tools, APIs, databases, and automation platforms to enable end-to-end workflow executionExperience designing and implementing agentic workflows, including task decomposition, tool integration, and autonomous decision-making logic.Proficiency in monitoring, evaluating, and optimizing agent performance, including error handling, memory management, and iterative refinement.Ensure the robustness and scalability of AI components, working closely with the platform/backend team.Collaborate with Product team across squads to turn business requirements into effective technical solutions.Conduct continuous technology watch: stay at the forefront of RAG, LLMOps, evaluation frameworks, agents, and multimodality.What We Expect From YouYou can switch easily between strategic and hands-on work: architect an AI system one day, and optimize a pipeline or model the next.You know how to balance delivery speed with technical quality.You can communicate clearly with both technical and non-technical stakeholders.You drive the adoption of best practices (testing, CI/CD, documentation, monitoring).You foster a strong culture of collaboration and feedback.You are comfortable in an agile environment (Scrum, squads, sprints, rituals).Profile wantedPreferred experienceSolid experience (5+ years) in Machine Learning / NLP / LLMs, including significant work on production-grade projects.Strong command of RAG & LLMOps concepts and tools: vector DBs, retrievers, embeddings, evaluation, LangChain/LangGraph, agent orchestration, etc.Excellent knowledge of ML frameworks: PyTorch, Transformers, Hugging Face, etc.Strong Python skills and good understanding of backend/data architectures (FastAPI, Airflow, Spark, etc.).Experience deploying models to production, ML CI/CD, monitoring, and performance.Technical leadership abilities: mentoring, code reviews, spreading best practices, cross-squad coordination.Curiosity, pragmatism, and a passion for real-world innovation.Bonus:Experience with LLM evaluation frameworksParticipation in open-source projects or public AI contributions