About the roleWe're looking for a Product Engineer to help build and scale the core product experiences of Phylo's AI agent platform. This is a highly versatile, full-stack role with a frontend lean, focused on turning cutting-edge agentic research into fast, reliable, and delightful products used by real scientists.
You'll own product features end-to-end - from UI and interaction design to backend APIs, billing, authentication, and integrations - and work closely with AI researchers, scientists, and infrastructure engineers to ship production-grade systems quickly without sacrificing quality.
This role is deeply interdisciplinary. You'll spend a lot of time listening, asking questions, and translating between scientists, product, engineering, and AI research. We are an AI-native engineering team: we use coding agents heavily, move fast, and hold a very high bar for engineering excellence.
What You'll Work On- Build and own full-stack product features across the Phylo platform, from user-facing UI to backend services.
- Design and implement frontend-heavy experiences for interacting with AI agents, workflows, and scientific tools.
- Own critical product surfaces such as billing, usage tracking, authentication, permissions, and account management.
- Collaborate closely with scientists, AI researchers, and engineers to translate capabilities into intuitive, production-ready product features.
- Ship quickly, iterate based on feedback, and continuously raise the bar on product quality, reliability, and performance.
- 2+ years of industry experience as a product, full-stack, or frontend-leaning software engineer.
- Strong experience building modern web applications (e.g. React, TypeScript, or similar frameworks).
- Comfort working across the stack (frontend, backend, and infrastructure) and strong communication skills, with the ability to collaborate effectively across biologists, product, engineering, and AI teams.
- Strong product instincts - you care deeply about UX, polish, and how real users experience the system.
- Ability to move fast, own features end-to-end, and operate with high autonomy.
- High standards for code quality, maintainability, and engineering excellence.
Nice to Have- Experience building AI-powered products, agent interfaces, or developer tools.
- Familiarity with sandboxed or isolated execution environments for agents or user code.
- Experience with billing systems, metering, or enterprise SaaS features.
- Experience working in AI-native teams that use coding agents or automation extensively.
- Interest in scientific, biomedical, or research-focused products.
