AI Technical Support Engineer

As an AI Technical Support Engineer at kapa.ai, you'll work directly with our engineering team and customers to ensure successful implementation of our RAG systems. This is an opportunity to be at the intersection of customer success and AI technology, helping developers build better documentation experiences. Check out Docker’s documentation for a live example of what kapa is.

In This Role, You Will

• Work closely with customers to troubleshoot and optimize their RAG implementations
• Drive improvements to our onboarding and integration processes
• Debug customer issues across our stack - from vector embeddings to API integrations
• Contribute to our technical documentation and implementation guides
  
  

You May Be a Good Fit If You Have

• Strong technical background with hands-on experience building or supporting AI applications
• Deep interest in LLMs and RAG architectures (if you have strong opinions about chunk sizes and embedding models, we want to talk!)
• Experience with Python and REST APIs (bonus: experience with vector databases and LLM frameworks)
• Excellent problem-solving skills and ability to debug complex technical issues
• Strong communication skills - you can explain RAG concepts to both technical and non-technical audiences
• Background in developer tools, documentation systems, or technical support roles
• Ability to thrive in a fast-paced startup environment where requirements evolve quickly
  
  

This is neither an exhaustive nor necessary set of attributes. If you're passionate about AI documentation and helping developers succeed, please reach out even if you don't match everything above.