AI Engineering Intern

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 SANOVIO, 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

About the interview process

Step 1: Intro call

Casual intro meeting with one of the founders to get to know each other and introduce SANOVIO.

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.

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