About The Position

You will ship LLM-powered features into a B2B SaaS product, working with product engineers from prototype to production.

Requirements

  • 3+ years of software engineering, at least 1 building LLM applications in production
  • Strong Python; experience with an LLM framework or SDK (LangChain, LlamaIndex or direct provider APIs)
  • Vector databases (pgvector, Pinecone or Weaviate) and embedding-based search
  • API design, testing and CI/CD habits
  • Advanced English

Nice To Haves

  • Evaluation tooling (LangSmith, Braintrust, Ragas)
  • TypeScript and React
  • Fine-tuning or classical ML background

Responsibilities

  • Build retrieval-augmented generation pipelines and agent workflows on top of commercial and open-source LLMs
  • Write and version prompts, tools and evaluation sets
  • Integrate AI features into the product's Python and TypeScript services
  • Measure quality, latency and cost, and improve them release over release
  • Add guardrails, logging and tracing for production use
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