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 ( ) for a live example of what Kapa is (look for the “Ask AI” button).

Si ricordi di controllare il suo CV prima di candidarsi. Inoltre, si assicuri di leggere tutti i requisiti relativi a questo ruolo.
The Following Challenges Should Excite You

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- 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

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- 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

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- 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 , please reach out.

Location

Remote within Europe. We’re a distributed team and welcome applicants based anywhere in Europe. xysqume We also have an office in Copenhagen for those who prefer working on‑site or hybrid.

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📌 Research Engineer, Applied AI (Italia)
🏢 kapa.ai
📍 Italia