Startups · AI

Design Engineer

Vercel · Remote - United States · Remote

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About Vercel

The autonomous stack for every app and agent. Backed by Accel, General Catalyst and Khosla.

About the role

AI Gateway gives developers one place to connect applications and agents to hundreds of models with one API key. It handles provider routing and fallbacks, unifies billing and observability, and lets teams manage spend and security controls across production AI workloads.

What they're looking for

  • Your work shows what you personally identified, designed, built, shipped, and learned after launch
  • You build production-quality web applications with React and TypeScript and can contribute confidently in a large, existing codebase
  • You bring strong visual and interaction craft and have made technical or data-rich products understandable without removing the control advanced users need
  • You can move between graphical interfaces, CLI workflows, API behavior, and implementation details, treating accessibility, performance, failure recovery, and instrumentation as part of the design
  • You use customer research and product data to make decisions, communicate your reasoning clearly, challenge ideas constructively, and change direction when the evidence changes
  • You use coding agents in your daily work, but you can explain, test, debug, and take responsibility for the code they help produce
More about this role

Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.

Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

AI Gateway gives developers one place to connect applications and agents to hundreds of models with one API key. It handles provider routing and fallbacks, unifies billing and observability, and lets teams manage spend and security controls across production AI workloads.

Designing this well is a systems problem. A developer should be able to choose the right model, make and verify a first request, diagnose a failed request, and configure routing, budgets, credentials, and security controls without losing sight of the application they are trying to build. The right interface might be in the dashboard, on the public model catalog, in the CLI, in an API response, or in code.

You will be the Design Engineer for AI Gateway, owning product design and frontend implementation across...

Read the full posting on Vercel's site ↗

Design

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