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 pipelines, conversational assistants, AI agents, and microservices exposing AI capabilities.
Domain
Generative AI, Large Language Models (LLMs), RAG, LLMOps, Document Processing
Deliverable
production ML models | product features | infrastructure
Required skills
Python, API-first development, RAG architectures, Vector databases, LLM integration, Prompt orchestration, Containerization, CI/CD, Observability, Unit/Integration testing
Preferred skills
OCR/Document analysis, Multi-agent workflows, Cloud platforms (AWS/Azure/GCP), Security & Data Governance, Banking/Finance domain experience
Technologies
FastAPI, Pydantic, LangChain, LangGraph, LlamaIndex, Mistral, Azure OpenAI, OpenAI, Claude, Bedrock, Azure AI Search, Elasticsearch, Qdrant, Pinecone, Weaviate, Milvus, Docker, Kubernetes, Terraform, GitLab CI, Jenkins, Grafana, Prometheus, PostgreSQL
Responsibilities
Design and develop RAG pipelines (ingestion, chunking, vectorization, indexing); Integrate LLMs into application architectures; Develop conversational assistants and AI agents; Build APIs and microservices for AI capabilities; Contribute to technical feasibility studies; Implement AI observability mechanisms; Participate in LLMOps best practices (prompt versioning, evaluation, guardrails); Collaborate with business and technical teams; Participate in Agile rituals
Seniority
Senior, hands-on IC