In our research lab, we are exploring how Large Language Models (LLMs) and AI agents can enhance the efficiency and effectiveness of Nokia products and our internal processes. To achieve this, we typically develop functional research prototypes and assets to demonstrate and evaluate our hypotheses. For example, in the past, we’ve created prototypes to assist developers with retrieving or generating relevant code snippets, easily creating domain-specific AI assistants, configuring Nokia network routers, etc. 
As an intern in this hands-on software development role, you will contribute to building and/or extending one of our existing or new GenAI-driven research prototypes. This involves enhancing existing software assets, creating new ones, and integrating and testing them end-to-end. Your work will not only validate our research but also improve the usability and functionality of our prototypes. Additionally, you will have the opportunity to present your contributions both within and outside the team.

Duration: flexible, to be agreed (typically 3-4 months), starting time flexible
                 This internship can be part of a Master’s thesis.

Location: Antwerp (Belgium) 

Please note that we are looking for a local candidate and that this is a non-renumerated internship.

Student enrolled in a Master of Computer Science/Engineering, at a Belgian UniversityStrong programming skills in Python (backend) and/or React.JS (frontend)Some knowledge about LLMs, AI agents, and frameworks etc. is a plusFamiliarity with open-source software and tooling (GitHub, Stack Overflow, Pypi, npm, Docker, etc)You will first get familiar with the selected research prototype you will be asked to work on, to understand its current capabilities, goals and scope.You will make a proposal on how you would implement the requested new features into the application; this will be an iterative process with the team.You implement, integrate and test the new features, and ensure the functionality and reliability.You will document the developed features and show the team on how to use/modify them.