Full Stack Engineer
Summary
Build full-stack features in TypeScript, Angular, and Node.js/Python to power an AI governance platform, shipping customer-impactful work within six months.
What you'll be doing
You're given room to innovate. It's a fast growing environment where growth is a mutual investment.
Within 1 month, you'll:
- Have your footing in the codebase and shipped your first meaningful contribution
- Fixed real bugs that had been sitting on the backlog
- Taken ownership of a small but impactful feature
Within 3 months, you'll:
- Be working confidently across the full stack: from database queries to frontend components
- Be contributing to features end-to-end with positive feedback from teammates on your code
Within 6 months, you'll:
- Have shipped features that genuinely move the needle for customers
- Be someone the team relies on and you'll feel it
- Look back at what you built and be proud of it
Who we're looking for
We care far more about how you think and build than the context in which you built it. Whether your experience comes from production systems, a weekend hackathon, an open‑source side project, or a university lab, if you've shipped real things and care about craft, we want to hear from you.
You'll need:
- Strong TypeScript skills, with experience on both frontend and backend
- Familiarity with a server‑side framework (Node.js, Python, or similar)
- Experience with a modern frontend framework (preferably Angular)
- Solid grasp of web fundamentals: HTTP, REST APIs, JSON
- Working knowledge of SQL
Bonus points if you:
- Have built something AI‑powered: a model wrapper, an agent, an LLM‑powered feature
- Have shipped under pressure: hackathons, 48‑hour sprints, solo launches
- Have worked with microservices, Docker, or Kubernetes
- Have touched a cloud platform
- Have a GitHub, portfolio, or demo you're proud to show
What to expect from us
- A team that ships, learns, and celebrates
- A beautiful office in the heart of Utrecht, with a sensible hybrid policy (we're currently unable to support a full remote policy)
- A culture of quality and honesty, we adjust when we're wrong, and we're not afraid to say so
- Fair, experience‑based compensation
- A meaningful equity stake via our employee stock option plan
Our north star
be the go‑to technical foundation for governing AI and genuinely enjoy the ride getting there.