3 days ago
Amsterdam, NetherlandsIntern
Responsibilities
- Build reports and dashboards showing AI tool usage and costs across TomTom.
- Investigate ways to improve AI tool results while reducing token usage, and share guidance and tooling with engineers.
- Improve the model gateway by adding usage tracking and simplifying access to new models.
- Evaluate new AI developer tools and document their effectiveness.
- Support pilots of AI-assisted engineering practices by collecting feedback and usage data.
Requirements
- Be enrolled at a Dutch university through at least September 2027 for the full internship.
- Be located in or near Amsterdam and able to commute to the office at least twice per week.
- Be available for at least 32 hours per week.
- Have good Python skills and some experience with AI coding assistants or LLM APIs.
- Have basic knowledge of data work using SQL, pandas, or similar tools.
- Have solid Computer Science fundamentals and communicate comfortably in English.
- Experience with GitHub Actions, APIs, or Azure, AWS, or GCP is preferred.
- Be curious about AI and eager to learn.
Benefits
- Work with a mentor on an individual project within a platform engineering team.
- Learn how an engineering platform team operates day to day.
- The internship requires at least 32 hours per week and regular office attendance in the Amsterdam area.
About TomTom
TomTom builds digital maps, real-time traffic, routing and navigation software for carmakers, enterprises, and developers, delivered via APIs, SDKs, and embedded systems. The Amsterdam-headquartered company, founded in 1991, also offers consumer GPS devices and licenses location data to power in-vehicle navigation and mobility applications worldwide. TomTom is a public company listed on Euronext Amsterdam (ticker: TOM2).