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 for enterprise clients.
Role type
Senior Generative AI Developer (RAG & LLMOps)
Builds
Production-ready RAG pipelines, conversational assistants, AI agents, and microservices exposing AI capabilities.
Domain
Enterprise software, Generative AI, Large Language Models (LLMs), Document Processing
Deliverable
production ML models | product features | infrastructure
Required skills
Python, FastAPI, Microservices, RAG architectures, Vector databases, LLM integration, Prompt orchestration, CI/CD, Containerization, Observability, Unit/Integration testing
Preferred skills
OCR/Document analysis, Multi-agent workflows, LLMOps, Cloud platforms (AWS/Azure/GCP), Security & Data Governance
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 (ingestion, chunking, vectorization, indexing); Integrate LLMs into application architectures; Develop conversational assistants and AI agents; Build APIs and microservices for business applications; Participate in technical feasibility studies; Industrialize solutions (testing, CI/CD, Docker, Kubernetes, Terraform); Implement AI observability mechanisms; Contribute to LLMOps best practices; Collaborate with business and technical teams.
Seniority
Senior, hands-on IC