Développeur(euse), IA appliquée III
Core
Design and deploy AI components integrated into LGI's health solutions, focusing on prototyping, RAG architecture, and LLMOps for clinical applications.
Role type
Senior Applied AI Engineer (LLM & RAG)
Builds
Production-ready AI features, RAG pipelines, and integrated health services for LGI products.
Domain
HealthTech / Applied AI / LLMs
Deliverable
production ML models
Required skills
Python, LLM integration, RAG architecture, LLMOps, NLP, data pipeline engineering, CI/CD, prompt engineering, model evaluation, vector databases, fine-tuning (PEFT/LoRA)
Preferred skills
Health digital experience, HL7/FHIR, C#/.NET, open-source contributions, on-prem AI deployment
Technologies
Python, Claude Code, OpenCode, Codex, MCP, LangChain, LlamaIndex, Hugging Face Transformers, Ollama, vLLM, Azure OpenAI, ETL, vector databases
Responsibilities
Build and prototype AI applications, integrate LLMs into workflows, design RAG pipelines for clinical data, manage AI deployment operations and monitoring, collaborate with R&D and Product teams.
Seniority
Senior, hands-on IC