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AI Engineer – LLM Applications (US Startup · Remote LATAM)

Posted a day ago
2-5 years experience
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AI Summary

You will build and integrate LLM-powered features and agent workflows into a B2B SaaS product. Responsibilities include managing the full lifecycle from prototype to production, including evaluation, logging, and performance optimization.

Client: mid-size US startup (Series B, about 150 people) ·
Location: remote, LATAM, 4+ hours overlap with US Eastern ·
Level: mid
Engagement: full-time contractor

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

What you will do

  • 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

What you bring

  • 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 have

  • Evaluation tooling (LangSmith, Braintrust, Ragas)

  • TypeScript and React

  • Fine-tuning or classical ML background

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