Software Engineering Intern - AI Platform Excellence
Amsterdam, The Netherlands
Platform Products – Platform Engineering /
Intern /
Hybrid
We look after the AI tools TomTom engineers use every day, such as GitHub Copilot, Claude and Cursor, and the platform that gives teams access to AI models. We help teams use these tools well, keep an eye on usage and cost, and try out new tools as they appear.
What you'll do:
- Join a friendly team of platform engineers and pick up a project of your own, with a mentor to guide you
- Help build reports and dashboards that show how AI tools are used across TomTom and what they cost
- Look into how engineers can get good results from AI tools while using fewer tokens, and share simple tips and tooling with them
- Help improve our model gateway, for example by adding usage tracking or making it easier for teams to try new models
- Take part in trying out new AI developer tools and help write down what works and what does not
- Support the pilot of our AI-assisted ways of working with engineering teams, for example by collecting feedback and usage numbers
- Build iteratively using agile methodologies, and learn how a platform team works day to day
What you'll need:
- Being enrolled in a Dutch university until at least September 2027, so the entire duration of the internship
- Being located in Amsterdam or cities close by to be able to commute to the office at least twice a week
- Available for at least 32h/week
- Good Python skills
- Some experience using AI coding assistants or LLM APIs, for example in coursework or a side project
- Basic knowledge of working with data (SQL, pandas or similar)
- Nice to have: experience with GitHub Actions, APIs or a cloud platform (Azure, AWS or GCP)
- Solid Computer Science fundamentals
- Comfortable with written and/or verbal communication in English
- Curious about AI and eager to learn
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
