The Role
Build end-to-end AI systems and agents for procurement workflows. Improve search/matching, build evaluations and data pipelines, implement structured outputs and guardrails, and support backend scalability and reliability in a fast-paced startup environment.
Summary Generated by Built In
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
* Improve reliability of AI workflows through structured outputs, tool calling, and guardrails
* Support backend improvements to keep systems scalable, stable, and efficient
Requirements
* 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.
_You know someone great?_ _Introduce them to us_ _and get up to €500 in referral bonuses if we hire them!_
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
* Improve reliability of AI workflows through structured outputs, tool calling, and guardrails
* Support backend improvements to keep systems scalable, stable, and efficient
Requirements
* 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.
_You know someone great?_ _Introduce them to us_ _and get up to €500 in referral bonuses if we hire them!_
Skills Required
- High agency and a builder mindset
- Experience or strong interest in NLP, LLMs, embeddings, ML, and AI-powered applications
- First experience with full-stack development
- Experience with TypeScript
- Experience with Python
- Experience with React or Next.js
- Strong problem-solving capabilities and willingness to learn new technologies fast
- Willingness to work in-person in Munich and commit to more intensive hours than a traditional 9-5
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The Company
What We Do
SANOVIO is an AI-powered procurement optimization platform for healthcare providers and hospitals. It is designed to help these organizations lower medical supply costs and optimize the procurement of medical consumables. The company aims to build the next generation of healthcare procurement infrastructure, managing the process from data to delivery to increase efficiency and savings for healthcare providers.
