Software Engineer (Full-stack)
About the role
Software engineer role at kapa.ai, responsible for full-stack development across the Kapa system, scaling the RAG engine infrastructure, and maintaining client integrations and analytics features.
Responsibilities
- Work directly with the founding team and 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.
Qualifications
- 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.
Skills

About kapa.ai
The fastest way to build AI assistants on technical content
kapa.ai makes it easy for technical companies to build AI support and onboarding bots for their users. Teams at +150 leading startups and enterprises incl. OpenAI, Mixpanel, Mapbox, Docker, Next.js and Prisma 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 750k developers have access to kapa.ai via website widgets, Slack/Discord bots, API integrations, or via Zendesk.
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