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
- Apply LLMOps best practices
- Build AI agents
- Build conversational assistants
- Build search augmented generation features
- Chunk documents
- Create document synthesis and analysis
- Deploy with Docker
- Deploy with Kubernetes
- Design RAG pipelines
- Develop AI APIs and microservices
- Document solutions
- Evaluate model outputs
- Extract information from documents
- Generate embeddings
- Implement AI observability
- Implement document OCR
- Implement monitoring and guardrails
- Index and update corpora
- Industrialize solutions with testing
- Ingest documents
- Integrate LLMs into applications
- Manage models and continuous improvement
- Monitor hallucinations errors logs traces
- Orchestrate multi step tasks
- Participate in agile rituals
- Perform technical feasibility studies
- Provision infrastructure with Terraform
- Set up CI/CD pipelines
- Track prompts response quality latency costs
- Version prompts
Perks/Benefits
Skills/Tech-stack
AI Search | AWS | Agents | Amazon Bedrock | Asyncio | Azure | Azure AI | Azure AI Search | Azure OpenAI | Claude | CrewAI | Data Governance | Datadog | Docker | Document indexing | Elasticsearch | Embeddings | Evaluation | Fallback mechanisms | FastAPI | GCP | GitHub Actions | GitLab CI | Grafana | Hybrid search | Integration Testing | Jenkins | Kubernetes | LLM orchestration | Langchain | Langfuse | Langgraph | Llamaindex | Microservices | Milvus | Mistral | OCR | OpenAI | Pinecone | PostgreSQL | Prometheus | Prompt engineering | Pydantic | Python | Qdrant | RAG | REST API | RGPD | Security Compliance | Semantic Kernel | Terraform | Tool-Calling | Unit Testing | Vector Search | Weaviate
Education
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