Développeur IA Générative Confirmé (H/F) – RAG, Agents IA & Industrialisation LLMOps
Nantes, Pays de la Loire, France
EUR 50K-70K (estimate) Mid-level Full Time
Tasks
- Add guardrails for generated outputs
- Build AI agents for multi step workflows
- Build API and microservices for AI capabilities
- Conduct technical feasibility studies
- Deploy with Docker and Kubernetes
- Design RAG pipelines
- Develop OCR and document transformation
- Develop conversational assistants
- Document solutions and architecture
- Implement AI observability
- Implement LLMOps best practices
- Implement chunking and embeddings
- Implement document ingestion
- Implement information extraction
- Index and update vector corpora
- Industrialize solutions with CI CD and testing
- Integrate LLMs into applications
- Monitor prompts quality latency and costs
- Participate in agile rituals
- Perform unit tests and integration tests
- Provision infrastructure with Terraform
- Version prompts and evaluate models
Perks/Benefits
- Career development
- Health insurance
- Meal benefits
- Paid time off
- Remote work opportunities
- Training opportunities
Skills/Tech-stack
AWS | Asyncio | Azure | Continuous Delivery | Continuous integration | CrewAI | Data Governance | Datadog | Docker | Document processing | Elasticsearch | Embeddings | FastAPI | GCP | GitHub Actions | GitLab CI | Grafana | Hybrid search | Information Extraction | Integration Testing | Jenkins | Kubernetes | LLM Agents | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Llamaindex | Microservices | OCR | PostgreSQL | Prometheus | Prompt engineering | Pydantic | Python | RAG | REST APIs | RGPD | Security | Semantic Kernel | Terraform | Tool-Calling | Unit Testing | Vector Search
Education
Roles
AI Developer | Developer | Engineer | Generative AI Developer | LLMOps Engineer
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