Support Engineer at kapa.ai (S23) $100K - $120K • 0.01% - 0.10% The fastest way to build AI assistants on technical content 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) Full-time US citizenship/visa not required 1+ years About kapa.ai We make it easy for technical companies to build AI assistants. Companies like Docker, Grafana and Mixpanel deploy kapa in the following ways: As chat interface on their public documentation to answer developer questions. As first line of defense on their support forms to reduce tickets. As internal assistant for their GTM teams to navigate their own complex product. We leverage companies existing technical knowledge sources including documentation, tutorials, forum posts, Slack channels, GitHub issues and many more to generate AI assistants that can handle complicated technical questions. More than 200 companies use kapa and we have answered more than 10 million questions to date. About the role Kapa makes technical knowledge instantly accessible through AI assistants. As a support engineer you will work work closely with our 200+ customers to help them deploy and manage both customer-facing and employee-facing AI assistants. Check out Docker’s documentation (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 to own the support engineering strategy Own the support queue and be the first point of contact for customers reaching out Collaborate with engineering on bug fixes, escalations and debugging Partner with the go-to-market team on the technical parts of onboarding Draft documentation and support content to help customers self-serve better (using kapa.ai) Occasionally partner with account executives early in the sales cycle acting as a sales engineer You may be a good fit if you have*: A love for helping customers become successful Enough technical chops to code small-scale proof-of-concepts An affinity for LLMs and RAG 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, please reach out. Technology Backend : Python, Django, Docker, Postgres, Weaviate, RabbitMQ Frontend: TypeScript, React, Next.js