Software Engineering Intern - AI Platform Excellence
Listed by employer · Checked
Posting date unknown
- Work arrangement
- hybrid
- Employment
- Intern
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
01 / A QUICK CHECK BEFORE YOU APPLY
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Applying from Namibia
Not enough information in this posting — confirm with the employer
Checked for applicants in Namibia; employer sponsorship is needed. Based on the source posting · not a hiring or work-authorization guarantee.
The posting does not specify whether applicants from your country are accepted.
Why this result?
3 still unclear
- The posting does not specify whether applicants from your country are accepted.
- Office attendance is required. Relocation and work permission have not been assessed.
- Visa sponsorship is not specified.
This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
1 with evidence8 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Employment type
- Intern
9 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
- Compensation
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
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
Show less description
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
Original formatting and links
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.
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
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
What you'll do:
What you'll need:
Matched by role category. Review each posting’s requirements before applying.
Explore stated remote geography
These collections reflect applicant location statements, not authorization or citizenship.