Software Engineer, Agent

We’re looking for a Software Engineer to join the Vercel Agent team. Our mission is simple: deploying on Vercel should feel like adding a seasoned infrastructure engineer to your team. The Vercel Agent investigates incidents before you see them, fixes failing builds, reviews code with deep production context, and answers questions about your running app with the authority of someone who has read the logs.

Today, this work spans multiple shipped products: automated code review on every PR, AI -driven investigation of production anomalies, an intelligent support agent that resolves the majority of customer issues without human intervention, and conversational code generation. We’re now unifying these into a single agent that appears pervasively across surfaces (like the Vercel dashboard, Vercel CLI, Slack, and many more), and is capable of multi-step reasoning, code execution in sandboxed environments, and taking real actions on your behalf.

Two things we’re most excited about: self-driving infrastructure, where 90% of what requires manual DevOps today gets handled automatically by the platform; and framework-defined agents, where the agent is customized to each customer’s application, injecting the right skills when they’re needed rather than dumping generic best practices.

This is a small team with an outsized mandate. You’ll work directly with leadership and across product, design, and infrastructure teams to define what self-driving infrastructure looks like — then build it.

If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team.

7+ years of full-time software engineering experience, with strong TypeScript proficiency. Engineers with deep Python experience who are excited to work in TypeScript are also a great fit.

A track record of openness and adaptability: you’ve shifted into new technologies, new domains, or new roles and thrived. This space is changing faster than anyone can claim expertise; we want people who learn and adapt, not people who play expert.

Strong product and UI sensibility. You care about the details of how an AI interaction feels to a user, and you can build great experiences without waiting for a designer.

Full-stack capability with an understanding of infrastructure, CI/CD, observability, and how large-scale web applications operate. The agent needs to reason about the same systems our customers use every day, you should too.

Experience building or contributing to frameworks, platforms, or reusable abstractions, not just feature work. You know when to build a primitive versus ship a one-off.

Demonstrated ability to ship independently, influence architecture, and set direction on a small, high-impact team.

Excellent communication skills, with an ability to translate technical detail into actionable insight for both engineering and partner teams.

Have experience building agentic systems, AI tooling, or automation frameworks, and especially agents in production. You understand the difference between a demo and a system that works reliably at scale.

Are familiar with LLM APIs (Anthropic, OpenAI, etc.), prompt engineering, or retrieval-augmented generation (RAG).

Have worked with Vercel, Next.js, or the modern web deployment ecosystem.

Have experience with sandboxed execution environments, container orchestration, or secure multi-tenant systems.