Senior FullStack and LLM Agent Engineer

il y a 1 semaine

Paris, Île-de-France YeldaAI Temps plein

Mission:

At Yelda, we put AI at the service of humans
. Our intelligent voice agents help users get fast, accurate answers while freeing human agents to focus on meaningful support. We're looking for a senior engineer to
improve and scale our voice bots platform
, integrate new
STT, TTS, and LLM models
, optimize performance, and enhance the conversation experience for millions of users (
500K+ conversations last month
).

Tech Stack:

  • Backend:

    (Hapi or NestJS + TypeScript),
    MongoDB
    ,
    Redis
    ,
    GraphQL
  • Frontend:
  • Tools: Jest
    ,
    LangChain
    ,
    GitHub Copilot
    ,
    CleverCloud
  • Focus: LLM, RAG, STT/TTS, performance, monitoring, observability

What You'll Do:

  • Design and implement new features with the CEO and tech team
  • Enhance voice agent experience with the latest LLM, RAG, ML, STT, and TTS technologies
  • Optimize platform architecture for performance, scalability, and maintainability
  • Integrate external and client APIs
  • Write and maintain tests and technical documentation
  • Stay up to date with AI and web technologies and share insights with the team

Why Join Us:

  • Be a
    foundational member
    of a mission-driven startup
  • Work with a
    diverse, international team
  • Influence product roadmap and technical decisions
  • Equity in an early-stage startup + perks (Station F campus, La Felicità , health insurance, meal vouchers)
  • Strong tech culture: conferences, meetups, and community involvement encouraged

Preferred Experience:

  • Strong
    , MongoDB
    , and
    LLM
    skills; experience with RAG a plus
  • Passion for conversational AI, NLP, and automation
  • Curious, proactive, and capable of owning features end-to-end

Recruitment:

  1. Intro call with CTO
  2. Call with CEO
  3. Technical exercise on profile
  4. Team call for culture & tech fit
  5. Final meeting in Paris (if local)

We value diversity:
We encourage women and underrepresented candidates to apply, even if you don't meet 100% of the criteria.

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