AI Engineering Lead - LLMs, RAG & Agentic Systems

Qantev SAS; Paris; Sur place; EUR 120 000 - 180 000; Plein temps

Résumé du poste

Qantev SAS in Paris seeks an exceptionally talented AI Engineering Lead to spearhead Intelligence, RAG & Context streams, writing core Agentic AI code and mentoring a team to deliver high-accuracy, explainable AI solutions.

You will bridge traditional ML with GenAI architectures for hybrid reasoning and fraud detection, and own production-grade pipelines powering claims data, adjudication, and insights for claims handlers.

Qualifications

• Master's degree or PhD from a top engineering school or university, specialized in Computer Science, AI, or Applied Mathematics.
• 7+ years of hands-on experience in applied AI/ML development, with a proven track record of shipping models to production.
• The GPT Pivot: proven transition from heavy custom model training to Foundation Models orchestration, advanced prompting, and tool use.
• Experience in regulated industries and data privacy is a plus, especially with model explainability.

Responsabilités

• Architect, code, and deploy multi-agent systems and deep learning models for Qantev’s Claims Data Platform. Own the technical delivery of your stream.
• Bridge the Paradigm Shift: combine traditional ML and rule-based approaches with GenAI/Agentic architectures for complex hybrid reasoning and fraud detection.
• R&D Industrialization: ensure AI models are wrapped in high-performance, API-first contracts for seamless product integration.
• Team Mentorship: foster a high-ownership engineering culture; mentor Data Scientists and AI Engineers through code reviews and architectural guidance.
• Evaluation & LLMOps: establish evaluation frameworks; build automated benchmarking pipelines to track drift, cost, latency, and token optimization.

Connaissances

Python

LLMs

MLOps

Knowledge graphs

Explainability

Product mindset

Communication

Formation

Master's degree or PhD in CS/AI

Outils

LangGraph

SmolAgents

Swarm

MCP

MLflow

Langfuse

Langsmith

Description du poste

Qantev SAS in Paris seeks an exceptionally talented AI Engineering Lead to spearhead Intelligence, RAG & Context streams, writing core Agentic AI code and mentoring a team to deliver high-accuracy, explainable AI solutions.

You will bridge traditional ML with GenAI architectures for hybrid reasoning and fraud detection, and own production-grade pipelines powering claims data, adjudication, and insights for claims handlers.