Confirmed Generative AI Developer (M/F) – RAG, AI Agents & Industrialization LL

France | Sept. 12, 2026

Report as Closed

Company: ASI

Country: France

Type: Remote

Employment: Full-time

Description:

As a Confirmed Generative AI Developer, you work within project teams in an Agile environment, alongside tech leads, architects, Product Owners, data, business and security teams.

You will be taken to:

  • design and develop RAG pipelines: document ingestion, chunking, vectorization, embeddings, indexing and updating of corpora;

  • integrate LLMs into robust application architectures: Mistral, Azure OpenAI, OpenAI, Claude, Bedrock or internal models;

  • develop conversational assistants and AI agents capable of orchestrating multi-step business tasks;

  • work on documentary use cases: OCR, document transformation, information extraction, augmented search, corpus synthesis and analysis;

  • design APIs and microservices exposing AI capabilities to business applications;

  • contribute to technical feasibility studies based on business needs: qualify what is realistic, identify constraints, propose an implementation trajectory;

  • participate in the industrialization of solutions: tests, CI/CD, Docker, Kubernetes, Terraform, supervision, documentation;

  • implement AI observability mechanisms: monitoring of prompts, quality of responses, latency, costs, errors, hallucinations, logs and execution traces;

  • contribute to LLMOps best practices: versioning of prompts, evaluation, monitoring, guardrails, model management and continuous improvement;

  • dialogue with business and technical teams to explain the choices, limits and trade-offs of AI solutions;

  • participate in Agile rituals: daily, refinement, sprint planning, demonstrations, retrospectives.

What we are looking for

We are looking for a technical profile, but not just a pure isolated developer.

  • You must be able to code, industrialize, document, but also to communicate with a client, to understand a business need and to simply explain what is feasible or not.
  • You have a good consulting posture: you know how to communicate, ask the right questions, alert people to risks and work as a team in a large account environment.

Target technical stack

You don't need to master the entire stack, but you should have a solid foundation in software development and real exposure to generative AI topics.

Expected skills:

  • Advanced Python;

  • FastAPI, Pydantic, asyncio or equivalents;

  • API-first and microservices development;

  • RAG architectures: vector search, hybrid search, embeddings, document indexing;

  • vector databases or search engines: Azure AI Search, Elasticsearch, Qdrant, Pinecone, Weaviate, Milvus or equivalent;

  • AI frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI or equivalent;

  • integration of LLM: Mistral, Azure OpenAI, OpenAI, Claude, Bedrock or internal models;

  • multi-model orchestration, management of prompts, fallback, agents and tool calls;

  • Docker, Kubernetes, Terraform or containerized cloud environment;

  • CI/CD: GitLab CI, Jenkins, GitHub Actions or equivalent;

  • observability: Grafana, Prometheus, Datadog, Langfuse or equivalent;

  • databases and storage: PostgreSQL, Elasticsearch, document storage or equivalent;
  • unit tests, integration tests, non-regression tests and AI response evaluation.

  • experience with large document pipelines;

  • experience in OCR, data extraction or document analysis;

  • first experience on AI agents or multi-step workflows;

  • knowledge of LLMOps subjects;

  • AWS, Azure or GCP cloud experience;

  • understanding of security issues, GDPR, IA Act and data governance;

  • experience in a banking, finance, insurance, public sector or highly regulated environment.

Skills appreciated

The following skills are a plus:

  • experience with large document pipelines;

  • experience in OCR, data extraction or document analysis;

  • first experience on AI agents or multi-step workflows;

  • knowledge of LLMOps subjects;

  • AWS, Azure or GCP cloud experience;

  • understanding of security issues, GDPR, IA Act and data governance;

    Apply here:

    Web: Apply here

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