Senior Data Scientist — Agentic AI (RAG, MCP)

The role

You design agentic AI solutions for critical use cases: RAG, agent orchestration, data pipelines and sovereignty requirements.

The role blends product R&D and delivery: fast prototyping, industrialization and answer-quality measurement.

Responsibilities

• Design and industrialize RAG and agent architectures (MCP, tools, memory).
• Build data pipelines (ingestion, quality, evaluation, monitoring).
• Evaluate models, prompts and guardrails (hallucinations, security, cost).
• Collaborate with product, data engineering and cybersecurity.
• Document and share practices across the team.

Profile

• Senior experience in data science / ML / GenAI in production.
• Strong Python, LLM frameworks, vector stores and evaluation.
• English C1 minimum (documentation and collaboration).
• Strong focus on sovereignty, privacy and traceability.

Nice to have

• Agents / tool-calling / MCP experience
• MLOps and LLM observability
• Defense, industrial or sensitive-data context