Research Engineer, Applied AI

kapa.ai; España; Remote; EUR 70,000 - 110,000; Full time

Job summary

Kapa.ai is seeking a Research Engineer to advance its AI assistants’ ability to handle increasingly complex technical questions. You will explore RAG systems, benchmark creation, and agentic retrieval strategies, collaborating with the founding team and engineers from day one.

Ideal candidates hold a Master’s or PhD in a related field, with hands-on experience in training and deploying LLMs, vector databases, and evaluation systems.

Qualifications

• Master's degree or PhD in CS/ML/Math/Stats or related field.
• Strong understanding of ML, DL, NLP and LLMs.
• Hands-on experience training, fine-tuning and deploying LLMs.
• Experience with vector databases and dense retrieval.
• Experience building evaluation systems for LLMs or search.
• Familiar with lexical and dense vector search techniques.
• Ability to thrive in a fast, loosely defined environment.
• Interest in ML research and applying it to kapa.ai.

Responsibilities

• Work directly with the founding team and software engineers to design experiments.
• Stay up-to-date with ML research and apply it to kapa.ai.
• Design and run experiments to improve retrieval and QA capabilities.

Skills

ML/NLP knowledge

LLM fine-tuning

Vector databases

Evaluation systems

Information retrieval

Fast dynamic work

Education

Master's or PhD in CS/ML/Math/Stats

Job description

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) 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.