Customer Solutions Engineer
Overview
Kapa.ai makes technical knowledge instantly accessible through AI assistants.
Job Description
Kapa.ai is a company that makes it easy for technical companies to build AI assistants. Companies like Docker, Grafana, and Mixpanel deploy kapa in various ways to handle complicated technical questions.
Responsibilities
- - 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
Required Skills
- - A love for helping customers become successful
- - Hands-on technical skills including API integration, debugging customer implementations, and scripting to solve customer problems
- - An affinity for LLMs, RAG and agentic workflows (you should definitely like tinkering!)
- - The ability to work effectively in a fast in a environment where things are sometimes loosely defined
About the company
Kapa.ai provides automated answers to developer questions by leveraging technical resources to power an LLM-based chatbot. The platform is designed with a singular focus: delivering the most accurate answers about a product. This system is known as the Answer Engine. Kapa.ai follows a philosophy of Evaluation-Driven Development, recognizing that academic benchmarks and leaderboards have limitations. Aligning AI models requires custom evaluations, and the company’s mission is to help organizations deploy reliable AI assistants capable of addressing technical product questions.
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