Job description:
You 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 agents
- Ability to connect AI agents with external tools, APIs, databases, and automation platforms to enable end-to-end workflow execution
- Experience 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 You
- You 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).
Preferred experience
- Solid 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 frameworks
- Participation in open-source projects or public AI contributions
Recruitment process:
- Initial HR Call
- Case Study
- Technical debrief with Hiring Managers
- Office tour
- Decision
Job Type: Full-time
Pay: Up to 75,000.00€ per year
Work Location: Hybrid remote in 75009 Paris 9e
