Senior Data Scientist - Agentic AI (RAG, MCP)

Rdmc; France; Remote; EUR 70,000 - 120,000; Full time

Job summary

Rdmc is seeking a Senior Data Scientist to design and operationalize agentic AI systems focused on RAG, agent orchestration, data pipelines, and sovereignty considerations. You will prototype rapidly, then industrialize models and measure answer quality in an evolving product context.

The role blends product R&D with delivery, requiring strong Python skills, LLM tooling, and a focus on privacy and traceability. English communication at C1 is required.

Qualifications

• Senior experience in data science / ML / GenAI in production.

Responsibilities

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

Skills

Python

LLM frameworks

Vector stores

Evaluation

English (C1)

Tools

MCP

MLOps

Guardrail tooling

Job description

Job opening

Senior Data Scientist — Agentic AI (RAG, MCP)

Generative AI, autonomous-agent orchestration, RAG and critical data pipelines. R&D embedded in the product.

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).
• 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