Maintain an active technology watch on the latest advances to guide the company’s technical strategy (GenAI, LLM/VLM, RAG, Agents/Multi-agent systems, etc.)
Lead exploratory research with the goal of publishing in top-tier conferences.
Share knowledge internally (keynotes, demos) to keep team expertise at the highest level.
Integrate state-of-the-art AI features into our products.
Rapidly prototype to validate technical hypotheses.
Immerse yourself in the complex product stack.

Scientific expertise & seniority: You have solid experience in Generative AI, with the breadth to design complex architectures and to read and implement research papers.
Versatile, "Swiss Army knife" mindset: You are impact-driven and able to switch from fundamental research to debugging a production script. You proactively seek information from the right stakeholders (product, engineering, etc.).
Pragmatism & agility: You understand that good AI is AI that runs in production. You prioritize rapid iteration and working code over long planning phases.
Technical versatility: You are proficient in the Python/AI ecosystem and have an appetite for software engineering. Learning the basics of another language for integration does not intimidate you.

Work on Deep Tech topics (advanced RAG systems, autonomous agents, self-improving agents, etc.) with a top-tier team (X, Centrale, Mines, PhDs...).

Lead Applied Research Scientist

Key skills