kapa.ai makes it easy for developer-facing companies to build AI support and onboarding bots for their users. Teams at +50 leading developer-facing companeis incl. OpenAI, Mixpanel, Mapbox, Airbyte and NextJS use kapa to level up their developer experience and reduce support.

We enable companies to use their existing technical knowledge sources incl. docs, tutorials, chat logs, and GitHub issues to generate AI bots that answers developer questions automatically. More than 300.000 developers have access to kapa.ai via website widgets, Slack/Discord bots, API integrations, or via Zendesk.

See a few examples live here:

• Prisma "Ask AI" docs widget for their website: prisma.io/docs
• OpenAI Discord bot for +100k devs (#ask-ai channel): twitter.com/OpenAI
• Netlify "Ask Netlify" docs widget available to their +1 million users: twitter.com/Netlify
• Mixpanel "Slack bot" for their 7.5k community members (#ask-ai channel): mixpanel.slack.com

We’ve been fortunate to be funded by some of the greatest AI investors in Silicon Valley: Initialized Capital (Garry Tan, Alexis Ohanian), Y Combinator, Amjad Masad and Michele Catasta (Replit), and Douwe Kiela (RAG paper author and founder of Contextual AI), and other folks incl. angels at OpenAI.

We're looking for strong applied full stack engineering candidates to join our seed-stage AI startup. We've built a super verticalized retrieval augmented generation (RAG) pipeline and are pushing the limits of what's possible here and co-discovering new limitations/features with our customers every day.

You will work directly with the founding team to continuously improve and scale our backend infrastructure, implement new features, and integrate AI capabilities into our platform. You'll have the opportunity to work with cutting-edge technologies and tackle exciting challenges as we rapidly grow our user base.

Here are a few signs you'd be a good fit:

• You've built Django and React apps before
• You really really like systems design sessions
• You get excited about this whole LLM thing, but care more about making stuff that's actually valuable to end-users than getting lost in AI-land

You'd be a perfect fit for this role if you're a great full stack engineer wanting to dip your toes into LLMs.

Timezones: US East and Europe

Django, NextJS, and lots of custom retrieval augmented generation pipelining.