Full Stack Engineer
TechChain Talent, San Francisco, CA, United States
About the Role
As a Full Stack Engineer at Hyperbolic Labs, you'll work closely with our Product and Engineering teams to design, build, and scale end-to-end applications that power our AI cloud platform. You'll contribute across the stack - from infrastructure and backend systems to intuitive frontend interfaces - helping us deliver a seamless experience for our GPU marketplace, inference tools, and platform services.
Requirements
8+ years of full-stack development experience
Experience with TypeScript and Python
Experience with Drizzle ORM, PostgreSQL, Vercel, and GitHub-based CI/CD pipelines
Experience running A/B or multivariate experiments
Experience designing and building applications (e.g., data modeling, API development, front-end development)
Bonus Skills
Strong Python expertise and familiarity with scripting for automation or integration
Experience working on AI developer tools or at-scale distributed systems
Experience with Supabase, Figma, or design collaboration workflows
Familiarity with A/B testing and feature flag systems (PostHog)
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and AI integration patterns
Previous leadership or mentorship experience within engineering teams
Demonstrated experience shipping production-ready features end-to-end
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As a Full Stack Engineer at Hyperbolic Labs, you'll work closely with our Product and Engineering teams to design, build, and scale end-to-end applications that power our AI cloud platform. You'll contribute across the stack - from infrastructure and backend systems to intuitive frontend interfaces - helping us deliver a seamless experience for our GPU marketplace, inference tools, and platform services.
Requirements
8+ years of full-stack development experience
Experience with TypeScript and Python
Experience with Drizzle ORM, PostgreSQL, Vercel, and GitHub-based CI/CD pipelines
Experience running A/B or multivariate experiments
Experience designing and building applications (e.g., data modeling, API development, front-end development)
Bonus Skills
Strong Python expertise and familiarity with scripting for automation or integration
Experience working on AI developer tools or at-scale distributed systems
Experience with Supabase, Figma, or design collaboration workflows
Familiarity with A/B testing and feature flag systems (PostHog)
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and AI integration patterns
Previous leadership or mentorship experience within engineering teams
Demonstrated experience shipping production-ready features end-to-end
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