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
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 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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Skills
- Engineering
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