Research Engineer, Applied AI

About kapa.ai

The fastest way to build AI assistants on technical content

Tech

- **Backend** : Python, Django, Docker, Postgres, Weaviate, RabbitMQ - **Frontend**: TypeScript, React, Next.js

The role

Kapa makes technical knowledge instantly accessible through AI assistants. As a research engineer you will work on improving Kapa’s ability to answer harder and harder technical questions. Check out Docker’s documentation ([https://docs.docker.com](https://docs.docker.com/)) for a live example of what Kapa is (look for the “Ask AI” button).**The following challenges should excite you:*** Evaluating a RAG system in production without labelled data.* Creating your own benchmark from scratch.* Building an agentic retrieval system that can judge when to be fast and when to take more time.* Fine tuning embeddings or rerank models.**To solve these challenges you will:*** Work directly with the founding team and our software engineers.* Keep up with the latest developments in the space and see how they can be applied.* Design and run experiments.**You may be a good fit if you have:*** A Master's/  PhD degree in Computer Science, Machine Learning, Mathematics, Statistics or a related field.* A detailed understanding of machine learning, deep learning (including LLMs) and natural language processing.* Hands-on experience in training, fine-tuning and deploying large language models.* Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases.* Significant experience building evaluation systems for LLMs or search.* Familiarity with various information retrieval techniques, such as lexical search and dense vector search.* The ability to work effectively in a fast in a environment where things are sometimes loosely defined.* Want to learn more about machine learning research.\* 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.**Location**: Remote within Europe. We’re a distributed team and welcome applicants based anywhere in Europe. We also have an office in Copenhagen for those who prefer working on-site or hybrid.