Startups · AI

Software Engineer (Full-stack)

kapa.ai · GB / EG / RU / UA / TR / FR / IT / ES / PL / RO / KZ / NL / BE / SE / CZ / GR / PT / HU / AT / CH / BG / DK / FI / NO /... · On-site

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About kapa.ai

The fastest way to build AI assistants on technical content. Backed by Y Combinator.

About the role

Kapa makes technical knowledge instantly accessible through AI assistants. As a software engineer you will work across the stack on the Kapa systems that answer thousands of developer questions per day. Check out Docker’s documentation ( https://docs.docker.com ) for a live example of what Kapa is (look for the “Ask AI” button). * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to kapa.ai , please reach out.

What they're looking for

  • A degree in computer science, machine learning, mathematics, statistics or a related field
  • 3+ years of software engineering experience working on complex systems in both backend and frontend
  • An affinity for machine learning, deep learning (including LLMs) and natural language processing
  • The ability to work effectively in a fast in a environment where things are sometimes loosely defined
More about this role

Kapa makes technical knowledge instantly accessible through AI assistants. As a software engineer you will work across the stack on the Kapa systems that answer thousands of developer questions per day. Check out Docker’s documentation ( https://docs.docker.com ) for a live example of what Kapa is (look for the “Ask AI” button).

  • Work directly with the founding team and our research engineers.
  • Scale the infrastructure that powers the Kapa RAG engine (Python).
  • Experiment with new features in the Kapa analytics platform (React + Python).
  • Work on the client integrations which are used to deploy Kapa for our customers (React + Python).
  • Give Kapa access to new kinds of data (Python).
  • Maintain our React SDK.
  • A degree in computer science, machine learning, mathematics, statistics or a related field.
  • 3+ years of software engineering experience working on complex systems in both backend and frontend.
  • An affinity for machine learning, deep learning (including LLMs) and natural language processing.
  • The ability to work effectively in a fast in a environment where things are sometimes loosely defined.

* This is neither an exhaustive nor necessary set of attributes. Even if...

Read the full posting on kapa.ai's site ↗

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