The Role
Build end-to-end product features for an AI-enabled health platform, integrating frontend, backend, and LLM-based AI systems. Work in a small project team with founders to design, implement, and refine features, emphasizing design sensibility and personalised health data integration.
Summary Generated by Built In
As Product Engineer, you will shape the product experience of an AI health platform from end to end, from interface through to backend and AI integration. You will build features that feel as considered as they are functional, working in a small projct team and closely together with the founding team. This role sits at the intersection of full-stack engineering, AI development, and design-conscious product thinking.
Requirements
- Master's degree, or equivalent industry experience
- Full-stack background with strength in frontend development and AI integration
- Experience with LLMs, fine-tuning, and multi-modal data systems
- Strong design sensibility, you understand both how things work and how they feel
- Genuine interest in health, longevity, and personalised systems
- Experience with biological & behavioural datasets is a plus
Benefits
- Start: June
- Duration: 3 months, integration into the founding team possible
- Workload: to be discussed
- Location: remote
- Salary: 45 CHF/h
Skills Required
- Master's degree or equivalent industry experience
- Full-stack background with strength in frontend development and AI integration
- Experience with LLMs, fine-tuning, and multi-modal data systems
- Strong design sensibility (understand both how things work and how they feel)
- Genuine interest in health, longevity, and personalised systems
- Experience with biological and behavioural datasets
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The Company
What We Do
ETH juniors connects academic talent with industry by organizing and delivering projects for companies ranging from nationally operating small and medium-sized enterprises to international corporations. It provides project-based consulting and recruits students and young professionals for software, IT, energy trading, AI, data engineering, and related assignments, helping organizations access specialized expertise while giving participants practical experience across diverse business and technology needs.
