Intern - AI Engineering
Mission
Construction is a $13T industry that still runs on PDFs, email chains, and manual cross-referencing. Every major project generates thousands of pages of contracts and commercial documents that nobody has the time to read properly — and mistakes cost millions. We're building the intelligence layer that changes that.
What You'll Work On
You won't be fetching coffee or building internal dashboards nobody uses. You'll ship real features alongside the founding team.
Document Processing: Help build and improve the pipelines that turn messy construction PDFs into structured, queryable data.
AI Agents: Contribute to our multi-agent system — build evaluation datasets, test retrieval strategies, improve prompt performance.
Evaluation: Help define and run evals that measure whether the system actually works — accuracy, recall, failure cases.
Product: Touch the full stack. Fix bugs in the frontend, add API endpoints, improve the experience for real users.
Who We're Looking For
You're early in your career but you've already built things on your own — side projects, hackathon wins, open-source contributions, or just apps you made because you were curious.
You don't need hand-holding. You pick things up fast, ask good questions, and ship.
Based in Munich or able to relocate for the duration.
Technical
Strong fundamentals in Python or TypeScript — ideally both
You've built something end-to-end before, even if it was small
Genuine interest in LLMs, AI agents, or NLP — bonus if you've built with them
Comfortable with git, APIs, and figuring things out from docs
Familiarity with React/Next.js or FastAPI is a plus
Mindset
Curious. You dig into things. You want to understand how it works, not just that it works.
Self-driven. You don't wait for instructions. You see something that could be better and you try to make it better.
Low ego. You're here to learn and contribute. You take feedback well and give it respectfully.
What You Get
Real work, real impact. No busywork. You'll contribute to the product our customers use.
Learn from builders. Work directly with the CTO and founding engineers. See how an early-stage startup actually operates.
Competitive internship compensation.
Whatever tools you need. Hardware, Claude Code, unlimited AI credits, productivity setup — just ask.
EGYM Wellpass, team dinners, and the occasional San Francisco offsite.
Interview Process
Intro call — Meet a founder. (~30 min)
Technical deep dive — We go deep on your experience, how you think about systems, and how you'd approach real problems in our domain. (~1 hr)
Take-home — A time-bounded, practical challenge based on our actual work. AI + full-stack, end-to-end.
Technical follow-up — Present your take-home, walk us through your decisions, and dig into the trade-offs together.
On-site day — Work with the full team from our Munich office at Sendlinger Tor. See how we actually build.
Offer.