Senior Full-Stack Engineer, AI Cloud Platform

Hyperbolic; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Hyperbolic Labs in San Francisco, CA is seeking an experienced Full Stack Engineer to design, build, and scale end-to-end applications powering our Open-Access AI Cloud. You’ll work across infrastructure, backend systems, and frontend interfaces to deliver a seamless experience for our GPU marketplace and AI inference tools.

You’ll collaborate with product and engineering teams to architect scalable systems, implement new features, and improve development practices to support rapid growth.

Qualifications

• 8+ years of experience in full-stack development.
• Strong expertise in Node.js and TypeScript.
• Fluent Python for backend systems is a plus.
• Solid experience with Postgres and API design.
• Familiarity with CI/CD workflows (GitHub).
• Demonstrated ability to ship production-ready features end-to-end.
• Strong product sense and user-focused mindset.
• Experience building large-scale applications and data models.

Responsibilities

• Design, build, and scale end-to-end applications for our AI cloud platform.
• Collaborate across infrastructure, backend, and frontend to deliver seamless user experiences.
• Architect scalable systems and implement new features to support rapid growth.
• Improve development practices and contribute to product decisions.

Skills

Full-stack development

Node.JS

TypeScript

Python

Product sense

Communication

Experimentation

API design

Data modeling

Frontend architecture

Tools

Drizzle ORM

Postgres

Vercel

GitHub CI/CD

Job description

Hyperbolic Labs in San Francisco, CA is seeking an experienced Full Stack Engineer to design, build, and scale end-to-end applications powering our Open-Access AI Cloud. You’ll work across infrastructure, backend systems, and frontend interfaces to deliver a seamless experience for our GPU marketplace and AI inference tools.

You’ll collaborate with product and engineering teams to architect scalable systems, implement new features, and improve development practices to support rapid growth.