Job Description

About the Role

We're looking for a hands-on Applied AI Engineer who lives and breathes LLMs. This isnt a research role youll be solving real-world problems, shipping features, and building production-ready systems that make our agent smarter every week.


What Youll Do

  • Build LLM-powered systems: prompt chains, retrieval pipelines, eval frameworks
  • Work across the stack from prototypes to production
  • Own components like test generation, code summarization, context pruning, etc.
  • Keep up with the latest in AI research, RAG, fine-tuning, and evals and use them
  • Work closely with founders and engineers to shape the direction of our product


Youll Thrive Here If

  • Youve shipped LLM-based features or side projects before
  • Youve worked with RAG, fine-tuning, or synthetic data generation
  • Youre comfortable reading papers and implementing them fast
  • You care about clean engineering, not just demos
  • You want to build a 0-to-1 product that people actually use


Tech Stack

Python, Typescript, LangChain, OpenAI, Claude, Pinecone/Chroma, Postgres, AWS


Perks

  • Competitive salary and generous equity
  • High ownership, no bureaucracy
  • Work with founders and core team closely
  • Fast shipping, real customers, and a big vision

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