As a software engineer you will work across the stack on the kapa systems that answer thousands of developer questions a 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.
- Drive forward the infrastructure that powers the kapa RAG engine.
- Experiment with new features in the kapa analytics platform.
- Work on the integrations which are used to deploy kapa for our customers.
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.
- An affinity for machine learning, deep learning (including LLMs) and natural language processing.
- Prior experience working on information retrieval systems.
- 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.