pBuild new platform features, bring AI agents into the product and fine-tune models for medical learning content, working directly with our Engineering Lead. /ph3What you'll do /h3ulliImplement features end to end, from the TypeScript frontend to the backend on Azure Kubernetes Service (AKS), including testing, code reviews and deployments via GitHub Actions /liliBring AI agents into the product: build MCP-based agents and tools for admin functions and customers, and assess their reliability with systematic evaluations /liliTurn learning content and annotations into datasets, run fine-tuning experiments and compare results against clear metrics and baselines /liliImprove our development process with coding agents: test and integrate workflows, conventions and reusable skills for the whole team /liliDesign and migrate data models for content, annotations and usage data, with Swiss data residency in mind /li /ulh3What you bring /h3ulliMaster’s degree or PhD in computer science, data science, electrical engineering, physics or a related field (ETH Zurich or comparable) /liliConfident in TypeScript and/or Python, with your own projects or code to show /liliPractical machine learning experience, e.g. with PyTorch; first experience with fine-tuning or LLMs is a plus /liliSolid grasp of data modelling and relational databases /liliIndependent way of working, contributing to technical decisions and explaining your thinking clearly /liliVery good German or English /li /ulh3Nice to have /h3pExperience with LLM agents, tool use, MCP or evaluations; Kubernetes, Azure and CI/CD; computer vision or 3D reconstruction (e.g. Gaussian Splatting or NeRF); and an interest in medicine or medical education. Industry experience and medical expertise are not required. /ph3What we offer /h3pRoom to shape a product we are scaling, ownership of your tasks with weekly one-to-ones with the Engineering Lead, the hardware and AI tools you need, regular feedback with a mid-point and final review, a written reference, and the option to discuss a permanent position afterwards. Six months, fixed-term, 100% in Zollikon, near Zurich. /p #J-18808-Ljbffr
Software & AI Engineer (Internship) Arbeitgeber: AUGMEDI
Augmedi in Zürich bietet eine dynamische Arbeitsumgebung, die Kreativität und Innovation fördert. Als Growth Marketing Manager haben Sie die Möglichkeit, an spannenden Projekten zu arbeiten und Ihre Fähigkeiten in einem internationalen Team weiterzuentwickeln. Die Unternehmenskultur legt Wert auf Zusammenarbeit und persönliche Entwicklung, während attraktive Benefits und ein zentraler Standort in Zürich das Arbeiten hier besonders angenehm machen.
