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United States Digital Space LLC in Munich is seeking a Software Engineering Intern to gain hands-on experience building AI-powered procurement infrastructure. You’ll work as a full-stack generalist with a frontend affinity, designing user flows in React and TypeScript while learning end-to-end ownership across backend, data, AI-enabled workflows, and cloud deployment.
You will contribute to real product work, collaborate with founders, and grow rapidly as the startup scales toward €10M ARR in
As a Software Engineering Intern at the company, you’ll get hands-on experience building the AI-powered procurement infrastructure that tackles one of the biggest and most complex cost problems in European healthcare.
This is a fast-paced, hands-on role for aspiring engineers with high agency, strong technical curiosity, and a builder mindset. We’re looking for a full-stack generalist with a frontend affinity. You’re eager to design user flows and implement them in React and TypeScript, while learning to own outcomes end-to-end across backend, data, AI-enabled workflows, and cloud deployment. You thrive amid uncertainty, move quickly, and care deeply about writing clean, high-quality code.
If you are a passionate builder who thrives at the intersection of full-stack development and AI, this is your opportunity to work directly with the founders, contribute to a real product, and grow rapidly in a startup scaling toward €10M ARR in 2026.
We are looking for ambitious engineering students or recent graduates with a strong foundation in software engineering and a genuine interest in AI. We hire for skill, ownership, and output.
Step 1: Intro Call
Casual intro meeting with one of the founders to get to know each other and introduce the company.
Step 2: Technical Interview
The technical interview consists of two parts:
For the take-home exercise, we’ll provide you with a task focusing on a real the company workflow and user flow in React and TypeScript, with a light end-to-end angle such as API integration, data modeling, edge cases, and clean architecture. Later, you’ll present your results to us.
Step 3: Personal Fit
Meet another co-founder to get a feel for our culture and working style.
Step 4: Offer
If we see a great fit, you’ll receive an offer.
Noel, Alex & Yong
The Founder Team