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Experienced Generative AI Developer – RAG, AI Agents & LLM Industrialization

Software Engineer • Senior • Remote • Full-time France France

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.

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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