Développeur IA Générative Confirmé (H/F) – RAG, Agents IA & Industrialisation LLMOps
Tasks
- Apply LLMOps prompt versioning and monitoring
- Build conversational assistants
- Deploy with Docker and Kubernetes
- Design RAG pipelines
- Develop AI agents for multi step workflows
- Develop OCR and document processing pipelines
- Develop and update vector search corpora
- Evaluate prompt quality and response quality
- Generate embeddings and index documents
- Implement AI microservices and APIs
- Implement CI/CD pipelines
- Implement guardrails and hallucination tracking
- Industrialize solutions with testing
- Ingest documents and chunk content
- Integrate large language models
- Manage logs traces and executions
- Perform technical feasibility studies
- Provision infrastructure with Terraform
- Set up AI observability and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | Agents | Asyncio | Azure | Azure AI | Azure AI Search | CI/CD | Cloud platform | CrewAI | Data Governance | Datadog | Docker | Elasticsearch | Embeddings | FastAPI | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Platform | Grafana | Integration Testing | Jenkins | Kubernetes | LLMOps | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Llamaindex | Microservices | Milvus | Non Regression | Non-regression testing | OCR | Pinecone | PostgreSQL | Prometheus | Prompt engineering | Pydantic | Python | Qdrant | RAG | REST APIs | RGPD | Regression testing | Security | Semantic Kernel | Terraform | Testing | Unit Testing | Vector Search | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Developer | Developer | Engineer | Generative AI Developer | LLMOps Engineer
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