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EXA

Software Engineer, Full Stack

San Francisco, California$180k–$350kfulltimemidAdded 1 month ago

About this role

Exa, an AI-powered search infrastructure company, seeks a Full Stack Engineer to build developer-facing products including dashboards, APIs, and SDKs. You'll own the complete product lifecycle while contributing to a platform that powers search for major AI companies and hundreds of thousands of developers.

What you'll do

  • Design and develop developer dashboards, APIs, and SDKs for the search platform
  • Build onboarding flows that help developers and AI agents integrate quickly
  • Architect and maintain the API gateway handling all Exa requests
  • Create billing, permissions, account management, and enterprise provisioning features
  • Own features from design through deployment and support
  • Shape API and SDK ergonomics for AI-first use cases

What they're looking for

  • TypeScript proficiency
  • Full-stack development (front-end and backend)
  • API design and backend systems
  • Front-end design sensibility
  • Product lifecycle management
  • Experience with LLM or AI agent products
  • Ability to learn new tools quickly
  • Distributed systems understanding

Benefits

  • Premium medical, dental, and vision coverage
  • Fertility benefits
  • 16 weeks fully paid parental leave
  • Monthly wellness stipend
  • Visa sponsorship available
  • In-person team environment in San Francisco
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EXA

Exa builds AI-powered search infrastructure that powers major products and serves hundreds of thousands of developers through APIs, SDKs, and web crawling technology. The company is hiring full-stack engineers, research engineers, distributed systems architects, customer-facing deployment engineers, and growth engineers to expand its platform and customer base.

View all jobs at EXA

Likely interview questions

  • Walk us through a backend API you've designed and maintained that real users depended on. What were the key design decisions, and how did you handle scaling or reliability issues?
  • Describe your experience shipping products for LLMs or AI agents. What were the unique challenges in building for that use case?
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