About Us:

DrAnsay is one of Europe’s fastest-growing digital healthcare platforms, serving hundreds of thousands of patients through telemedicine services such as digital prescriptions, medical certificates, and online consultations.

Our next step is building AI-native healthcare infrastructure. We integrate Artificial Intelligence, Large Language Models (LLMs), and automation systems into healthcare workflows to improve patient communication, automate medical processes, and scale digital healthcare services.

To support this mission, we are looking for a Working Student – AI Engineering (m/f/d) who wants to work on real AI systems in production.

Your Responsibilities:

As a Working Student in AI Engineering, you will collaborate with our engineering team on real AI systems used in digital healthcare:

AI systems and automation
You support the development of AI-powered workflows using large language models, contribute to automation tools for internal medical processes, and help build intelligent systems that improve patient communication and operations.
AI knowledge systems and data
You assist in building retrieval-augmented generation (RAG) systems for medical knowledge, support AI-based document processing, and work with data pipelines used in healthcare applications.
AI prototyping and experimentation
You help test new AI models, frameworks, and tools, and build prototypes for new AI features and automation workflows within our platform.
Engineering and integration
You support the integration of AI services into backend systems and APIs and collaborate on scalable AI infrastructure for telemedicine products.

Your Profile:

Currently studying Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
Strong Python skills
First experience with machine learning, NLP, or large language models
Interest in AI agents, automation, and generative AI
Structured, hands-on working style
Availability to work 15–20 hours per week

Nice to have

Experience with LLM frameworks such as LangChain or LlamaIndex
Experience with PyTorch or other machine learning frameworks
Backend or API development experience
Personal AI projects or open-source contributions

What we offer:

Real-world AI engineering experience: Work on AI systems used by patients and healthcare professionals.
Modern AI technologies: Gain hands-on experience with LLM frameworks, automation tools, and machine learning systems.
Impact in digital healthcare: Your work directly contributes to improving access to medical services.
Fast learning environment: Small team, high ownership, and quick iteration cycles.
Flexible working setup: Remote work within Germany or from our Berlin office.
Career opportunities: Top-performing working students often transition into full-time AI engineering roles

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