Build something useful with UUG.AI

UUG.AI builds software that turns camera streams into useful signals for real-world operations. Join us for a focused engineering project in one of three tracks: computer vision, data and LLMs, or frontend engineering. Together we will define a practical problem, a clear scope, and an outcome that can contribute to our platform.

You will have a dedicated engineer as your coach, regular feedback, and access to the wider team. This is a real engineering project, not a collection of side tasks.

What you will work on
- Turn an agreed problem into a project plan with milestones and a definition of done.
- Learn the relevant part of our stack and document your engineering decisions.
- Build and test a working solution using the same practices as the rest of the team.
- Share progress, ask for feedback early, and adjust your approach based on evidence.
- Demonstrate a documented result the team can understand and continue; where ready, work with your coach to integrate it into a production path.

About you
- You are studying or have recently completed a relevant technical programme, or can demonstrate equivalent self-directed work.
- You have foundations in your chosen track: Python and computer vision, data and LLMs, or TypeScript and frontend development.
- You are curious, communicate clearly, and enjoy collaborating on a shared codebase.

Practical details
Location: Ghent, Belgium. Hybrid, with regular collaboration from our Ghent office.
Duration and working schedule: agreed with the student and university to match the project and academic requirements. Any allowance arrangements will be discussed before the internship starts.

Interested? Share your CV or profile, your preferred track, availability, and a project that shows how you think. Apply via https://uug.ai/contact/ or contact Cedric Verstraeten through this listing.

Foundations in one track: Python and computer vision; data engineering, LLMs or multimodal AI; or TypeScript and frontend development. Git, Docker, automated tests, a portfolio or substantial course project are helpful, not all required.