Software Engineer (Full-stack)

We make it easy for developer-facing companies to build AI support bots for their community. Teams at OpenAI, Airbyte and NextJS use kapa.ai to help onboard new users and reduce support. Sign up at: https://www.kapa.ai/

Location: Remote
Company size: 10–50
Posted: 2mo ago
Via: Yc

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Job listing · Updated 21 AUG 2026

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 / SK / LT / EE / DE / Remote (GB; EG; RU; UA; TR; FR; IT; ES; PL; RO; KZ; NL; BE; SE; CZ; GR; PT; HU; AT; CH; BG; DK; FI; NO; SK; LT; EE; DE)View company profile

Job title: Software Engineer (Full-stack)
Job location: GB / EG / RU / UA / TR / FR / IT / ES / PL / RO / KZ / NL / BE / SE / CZ / GR / PT / HU / AT / CH / BG / DK / FI / NO / SK / LT / EE / DE / Remote (GB; EG; RU; UA; TR; FR; IT; ES; PL; RO; KZ; NL; BE; SE; CZ; GR; PT; HU; AT; CH; BG; DK; FI; NO; SK; LT; EE; DE)
Job listing URL: https://www.ycombinator.com/companies/kapa-ai/jobs/JPE2ofG-software-engineer-full-stack
Job description: 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**](https://docs.docker.com)) for a live example of what Kapa is (look for the “Ask AI” button). **In this role, you will:** * 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. **You may be a good fit if you have:** * 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 none of these apply to you, but you believe you will contribute to [kapa.ai](http://kapa.ai), please reach out.

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