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Senior AI/ML Engineer

AurvikAIKolkata / Remote5+ yearsFull-time

Own AI components end-to-end for enterprise clients — retrieval design, model selection, deployment, and the iteration loop after launch. You'll work directly with founders and senior engineers, no proxy layers.

01

What you'll do

  • Design RAG pipelines on top of vector stores, hybrid search, and reranking — tuned to client domain data and evaluated against real user queries.
  • Choose, fine-tune, and benchmark open and closed LLMs. Build eval harnesses that catch regressions before users do.
  • Ship multi-agent workflows with tool use, planning, and guardrails for narrow enterprise problems.
  • Own production quality: latency, cost, observability, and safety. You don't hand the model off to ops — you keep it healthy in prod.
02

What we're looking for

  • 5+ years building production software, with at least 2 shipping AI/ML systems that real users depend on. Research-only backgrounds aren't the right fit.
  • Deep Python and the modern AI stack — PyTorch or JAX, Hugging Face, LangChain or LlamaIndex (or strong opinions about why not), vector databases, eval frameworks.
  • Strong systems sense: you understand cost, latency, and failure modes, and know when smaller model + good retrieval beats bigger model + naive prompts.
  • Clear written communication. You can write a one-page design doc a non-AI engineer can follow.
03

How hiring works here

  • A conversation with the person you would report to. No recruiter screen in front of it.
  • One technical discussion built around work you have done.
  • A paid exercise if we both want more signal, scoped to a few hours.
  • A decision either way within a week. We reply to everyone.

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