AI Engineering Intern

United States Digital Space LLC; München; Vor Ort; EUR 10.000 - 15.000; Vollzeit

Benefits dieser Stelle

Central Munich office

Monthly wellness budget

Access to AI tools

Flexible work setup

Return offer potential

Zusammenfassung

United States Digital Space LLC in Munich seeks an AI Engineering Intern to help build end-to-end AI workflows for procurement in European healthcare. You will collaborate with a small, high-performing team and gain hands-on experience shipping AI-enabled features in production.

The role offers exposure to NLP/ML, full-stack development (TypeScript and Python), and a fast-paced startup environment with in-person work in Munich.

Qualifikationen

• High agency and a builder mindset; iterate quickly and deliver outcomes.
• Interest or experience in NLP, LLMs, embeddings, ML, and AI-powered apps.
• Front-end and back-end basics; experience with TypeScript and Python; React or Next.js preferred.
• Strong problem-solving skills and ability to learn new tech rapidly.
• Willingness to work in a fast-paced startup environment in Munich.

Aufgaben

• Work across the full stack to build AI agents and AI-enabled workflows end-to-end.
• Improve search and matching quality for products, suppliers, and documents.
• Build evaluations to measure quality and iterate quickly.
• Build data pipelines to process large-scale unstructured data efficiently.
• Support backend improvements to keep systems scalable, stable, and efficient.
• Improve reliability of AI workflows through structured outputs, tool calling, and guardrails.

Kenntnisse

Builder mindset

NLP/ML interest

Full-stack TS/Python

Problem solving

Fast-paced startup

Tools

TypeScript

Python

React/Next.js

Jobbeschreibung

About the role

We’re looking for one AI Engineering Intern to help us build AI systems end-to-end for one of the most complex workflows in European healthcare: procurement. This is a fast-paced, hands-on role for candidates with high agency. At the company, you will collaborate closely with a small, high-performing team and gain real-world experience building AI-enabled applications in a cross-border B2B environment.

If you're excited about software engineering and AI, this is your opportunity to learn fast, experiment, ship real features, and see your work used in production.

Tasks

• Work across the full stack to build AI agents and AI-enabled workflows end-to-end

• Improve search and matching quality for products, suppliers, and documents

• Build evaluations to measure quality and iterate quickly

• Build data pipelines to process large-scale unstructured data efficiently

• Support backend improvements to keep systems scalable, stable, and efficient

• Improve reliability of AI workflows through structured outputs, tool calling, and guardrails

Qualifications

• High agency and a builder mindset, you iterate quickly and get things done

• Experience or strong interest in NLP, LLMs, embeddings, ML, and AI-powered applications

• First experience with full-stack development, ideally TypeScript and Python, plus React or Next.js

• Strong problem-solving capabilities and willingness to learn new technologies fast

• You’re excited to strive for excellence and build software in a fast-paced startup environment

• You want to work in-person in Munich with more intensity than in a traditional 9–5 role

Benefits

• Great central office in Munich with regular team events and dinners

• Monthly wellness budget

• Access to any AI or productivity tools you need to do your best work

• International scope and real-world operational impact with a return offer chance

• Flexible work setup with time-zone responsibility

About the interview process

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

A take-home technical challenge to showcase your skills, followed by a call to walk us through your approach, insights, and solution for the take-home exercise.

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 will get an offer, including a competitive compensation package.