Senior LLM Engineer

il y a 2 semaines

Paris, Île-de-France botim Temps plein

Role Summary
:

We are looking for a
Senior LLM Engineer
with deep expertise in
Large Language Model development, orchestration, and application engineering
. The ideal candidate has 3–5 years of hands-on experience building and deploying AI systems using
LangChain
,
LangGraph
, and related frameworks. You will be responsible for designing, implementing, and optimizing complex, multi-agent LLM applications that drive real business value.

Key Responsibilities
:

  • Design, build, and optimize
    LLM-based systems
    leveraging
    LangChain, LangGraph, and vector databases
    .
  • Develop and maintain
    modular prompt pipelines, agents, and tools
    that enable dynamic reasoning and contextual understanding.
  • Integrate
    LLMs with APIs, databases, and internal tools
    for seamless automation and data interaction.
  • Fine-tune, evaluate, and deploy
    foundation models
    (e.g., OpenAI, Anthropic, Mistral, Llama) for domain-specific applications.
  • Implement
    retrieval-augmented generation (RAG)
    and
    knowledge graph reasoning
    pipelines.
  • Collaborate with cross-functional teams — product managers, data engineers, and researchers — to bring LLM-driven products to life.
  • Contribute to
    LLM system architecture design
    , ensuring scalability, maintainability, and performance.
  • Stay current with emerging
    AI frameworks, model APIs, and orchestration patterns
    .

Key requirements
:

  • Master's degree
    or
    Degree
    in Computer Science, Artificial Intelligence, or a related field.
  • 3–5 years of experience developing with
    LangChain
    and
    LangGraph
    in production environments.
  • Strong proficiency in
    Python/Java Scripts
    and
    LLM APIs
    (OpenAI, Anthropic, Hugging Face, etc.).
  • Experience with
    RAG pipelines, embeddings, and vector databases
    .
  • Solid understanding of
    prompt engineering
    ,
    LLM evaluation
    , and
    tool/agent design
    .
  • Experience with
    Docker
    ,
    Git
    , and modern cloud environments (e.g. Azure or AWS etc.).
  • Experience with
    multi-agent systems
    ,
    function calling
    , and
    graph-based orchestration
    .
  • Familiarity with
    LangSmith
    or
    LLMOps
    tools for observability and performance tracking.
  • Knowledge of
    data pipelines, ETL systems, or microservice architectures
    .
  • Prior work in
    AI product development
    ,
    chatbot orchestration
    , or
    automation systems
    .

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