Offer summary

Qualifications:

Degree in computer science or related field, 3+ years of software engineering experience, Affinity for machine learning and NLP, Experience with information retrieval systems.

Key responsabilities:

Work with the founding team

Develop infrastructure for kapa RAG engine

Experiment with kapa analytics features

Integrate kapa for customer deployment

Job description

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.

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