BIO
Product Engineer
About this role
Build and deploy user-facing AI applications for a decentralized biotech research platform. You'll rapidly prototype MVPs that connect sophisticated AI agents to real users, integrating health data sources and translating complex AI outputs into intuitive interfaces.
What you'll do
- Ship production-ready MVPs quickly using rapid prototyping approaches
- Integrate external data sources including fitness trackers, EHRs, and bio-databases
- Design and develop UIs that make non-deterministic AI outputs actionable and understandable
- Validate new use cases through user testing and feedback
- Build connectors for messy, undocumented, or inconsistent APIs
- Own products from concept through deployment while core team focuses on AI reasoning
What they're looking for
- Full-stack development with frontend focus
- Rapid prototyping and MVP development
- API integration and data connector development
- UI/UX design and implementation
- Product intuition and user-centered thinking
- Comfort with ambiguous requirements and iteration
- AI/ML system UI design (nice to have)
- Healthcare or health tech API experience (nice to have)
Benefits
- Fully remote work
- High autonomy over entire product lifecycle
- Competitive compensation with token/equity component
- Work at intersection of AI and biology
- Access to $50m+ in directed research funding ecosystem
- Backing from top-tier investors including Binance Labs
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BIO
BIO builds a decentralized science platform that enables researchers and scientists to fund and commercialize biotech research through AI agents and blockchain coordination systems. The company is hiring Core Engineers, Full-Stack Engineers, AI/ML Engineers, Product Engineers, and QA Engineers to build foundational infrastructure, user-facing applications, intelligent agent systems, and quality assurance across its AI-driven research platform.
View all jobs at BIOLikely interview questions
- Tell us about a time you shipped an MVP or product quickly with limited information. How did you decide what to cut, and how did you validate it with users?
- Walk us through your experience integrating with external APIs—especially messy or poorly documented ones. How did you handle inconsistencies or gaps?