Développeur IA Générative Confirmé (H/F) – RAG, Agents IA & Industrialisation LLMOps
Tasks
- Apply LLMOps practices versioning evaluation monitoring guardrails
- Create document processing workflows OCR
- Deploy with Docker Kubernetes Terraform
- Design and develop RAG pipelines
- Develop AI APIs and microservices
- Develop conversational assistants and AI agents
- Implement AI observability for prompts quality and latency
- Implement and integrate LLMs in applications
- Industrialize solutions with tests and CI CD
- Ingest documents and build vector embeddings
- Manage model integration prompts and fallback strategies
- Run technical feasibility studies for use cases
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | AWS Bedrock | Asyncio | Azure | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | Claude | CrewAI | Datadog | Docker | Elasticsearch | Embeddings | FastAPI | GCP | GitHub Actions | GitLab CI | Grafana | Hybrid search | Integration Testing | Jenkins | Kubernetes | LLMOps | Langchain | Langfuse | Langgraph | Llamaindex | Microservices | Milvus | Mistral | OCR | OpenAI | Pinecone | PostgreSQL | Prometheus | Prompt management | Pydantic | Python | Qdrant | RAG | REST APIs | RGPD | Semantic Kernel | Terraform | Unit Testing | Vector Database | Vector Search | Weaviate
Education
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