Développeur IA Générative Confirmé (H/F) – RAG, Agents IA & Industrialisation LLMOps
Tasks
- Apply LLMOps best practices
- Build conversational assistants and AI agents
- Conduct technical feasibility studies
- Design RAG pipelines
- Develop AI APIs and microservices
- Develop LLM integrated applications
- Implement AI observability and evaluation
- Implement document OCR and extraction
- Industrialize solutions with testing CI CD and infrastructure
- Integrate guardrails and prompt versioning
- Monitor costs latency and hallucinations
- Perform unit and integration testing of AI systems
Perks/Benefits
- Agile team collaboration
- Career development
- Client project exposure
- Documentation culture
- Stable employment
Skills/Tech-stack
API Development | AWS | Asyncio | Azure | CI/CD | CrewAI | Data Governance | Datadog | Docker | Document indexing | Elasticsearch | Embeddings | FastAPI | GitHub Actions | GitLab CI | Google Cloud | Grafana | Hybrid search | Integration Testing | Jenkins | Kubernetes | LLM orchestration | LLMOps | Langchain | Langfuse | Langgraph | Llamaindex | Microservices | OCR | PostgreSQL | Prometheus | Prompt engineering | Pydantic | Python | RAG | RGPD | Semantic Kernel | Terraform | Testing | Unit Testing | Vector Search
Education
Roles
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