Développeur IA Générative Confirmé (H/F) – RAG, Agents IA & Industrialisation LLMOps
Core
Design and develop RAG pipelines, integrate LLMs into robust application architectures, and build AI agents to orchestrate multi-step business tasks.
Role type
Senior Generative AI Developer (RAG & LLMOps)
Builds
Production-ready RAG systems, conversational assistants, AI agents, and microservices exposing AI capabilities.
Domain
Generative AI, Large Language Models (LLMs), RAG, LLMOps, Enterprise Software
Deliverable
production ML models | product features
Required skills
Python, FastAPI, Microservices, RAG architectures, Vector databases, LLM frameworks, Agent orchestration, Cloud infrastructure, CI/CD, Observability, Unit/Integration testing
Preferred skills
OCR and document analysis, Multi-modal orchestration, Security and data governance, Experience in regulated industries (banking/finance/insurance)
Technologies
Mistral, Azure OpenAI, OpenAI, Claude, Bedrock, LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, Azure AI Search, Elasticsearch, Qdrant, Pinecone, Weaviate, Milvus, Docker, Kubernetes, Terraform, GitLab CI, Jenkins, GitHub Actions, Grafana, Prometheus, Datadog, Langfuse, PostgreSQL
Responsibilities
Design and develop RAG pipelines for document ingestion and vectorization; Integrate LLMs into application architectures; Develop AI agents for multi-step task orchestration; Build APIs and microservices for AI capabilities; Implement AI observability mechanisms (prompt tracking, latency, cost, hallucinations); Contribute to LLMOps best practices (prompt versioning, evaluation, guardrails); Participate in technical feasibility studies and Agile rituals.
Seniority
Senior, hands-on IC