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.

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 for a live example of what kapa is.

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, please reach out.

• Backend : Python, Django, Docker, Postgres, Weaviate, RabbitMQ
• Frontend: TypeScript, React, Next.js