Intern Product Engineer (Artificial Intelligence)

Join our dynamic team as an Intern Product Engineer (Artificial Intelligence). In this role, you will turn problems into working prototypes, make product decisions, set up evaluation and monitoring, and work directly with customers and the product team. Enjoy a flexible work environment, a diverse global team, and a centrally located headquarters in Amsterdam.

• Transforming problems into working prototypes quickly and refining successful prototypes into production features.
• Utilizing AI tools and agents to design, build, test, and ship products, while knowing when to trust the output and when to verify it.
• Making product decisions, determining what features to build or cut, and establishing evaluation and monitoring processes to assess product performance.
• You've actually built and shipped things. Side projects, internships, a first job, hackathon wins, small tools people use. You can point to them and walk us through the choices you made
• You use AI and agents as your default way of working, and you keep up as the tools change. You treat a model like a fast but unreliable teammate whose work you always check
• You have real product sense for someone early in their career. You can look at a half-formed request and see the job to be done, and you have taste about what makes something good to use
• You move fast and take ownership. You'd rather ship something small and learn than plan something big and wait. You're direct, curious, and happy to challenge how things are done. That fits how we work
• You understand how software systems fit together, how data flows, and why things break. You don't need to be the strongest raw coder in the room, but you can read, reason about, and debug what you and your agents produce
• You've worked in a team. You know how to take feedback, review and get reviewed, and move something forward with other people
• A first role or internship at a SaaS or product company
• Side projects or small products you built mostly on your own and got into people's hands
• Any hands-on experience running evals, watching inference cost, or dealing with model failure modes like hallucination. If you don't have this yet, we'll teach you