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Stelle
· Senior
Experienced Generative AI Developer – RAG, AI Agents & LLM Industrialization
Softwareentwickler
• Senior
• Remote
• Vollzeit
•
Frankreich
Generative AI developer role within Agile project teams, designing RAG pipelines, integrating LLMs (Mistral, Azure OpenAI, OpenAI, Claude, Bedrock) and building conversational assistants and AI agents.
Stack
Responsibilities
- ▹Design and develop RAG pipelines: document ingestion, chunking, vectorization, embeddings, indexing
- ▹Integrate LLMs into robust application architectures (Mistral, Azure OpenAI, OpenAI, Claude, Bedrock or internal models)
- ▹Develop conversational assistants and AI agents orchestrating multi-step business tasks
- ▹Work on document use cases: OCR, document transformation, information extraction, augmented search, synthesis
- ▹Design APIs and microservices exposing AI capabilities to business applications
- ▹Contribute to technical feasibility studies based on business needs
- ▹Contribute to industrialization: testing, CI/CD, Docker, Kubernetes, Terraform, monitoring, documentation
- ▹Set up AI observability: prompt tracking, response quality, latency, cost, errors, hallucinations
- ▹Contribute to LLMOps best practices: prompt versioning, evaluation, monitoring, guardrails
- ▹Participate in Agile ceremonies (daily, refinement, sprint planning, demos, retros)
Requirements
- ▹Advanced Python skills
- ▹Experience with FastAPI, Pydantic, asyncio or equivalents
- ▹API-first and microservices development experience
- ▹Knowledge of RAG architectures: vector search, hybrid search, embeddings, document indexing
- ▹Experience with vector databases or search engines (Azure AI Search, Elasticsearch, Qdrant, Pinecone, Weaviate, Milvus or equivalents)
- ▹Familiarity with AI frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI or equivalents
- ▹Experience integrating LLMs (Mistral, Azure OpenAI, OpenAI, Claude, Bedrock or internal models)
- ▹Knowledge of multi-model orchestration, prompt management, fallback, agents and tool calls
- ▹Experience with Docker, Kubernetes, Terraform or containerized cloud environments
- ▹CI/CD experience: GitLab CI, Jenkins, GitHub Actions or equivalents
- ▹Familiarity with observability tools: Grafana, Prometheus, Datadog, Langfuse or equivalents
- ▹Database and storage knowledge: PostgreSQL, Elasticsearch or equivalents
- ▹Experience with unit testing, integration testing, regression testing and AI response evaluation
- ▹Good communication and consulting mindset, able to align with clients
Nice to have
- ▹Experience with large-scale document pipelines
- ▹Experience with OCR, data extraction or document analysis
Soft skills
Strong consulting postureCommunication skills with clients and business teamsAbility to flag risksTeamwork in a large-enterprise environment
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