About the Role
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.
What you will do:
- Design and build agentic systems that autonomously investigate, diagnose, and remediate production issues — from 500 errors and build failures to performance regressions and security anomalies.
- Architect multi-step agent workflows that coordinate across tools, APIs, and sandboxed code execution environments, with durable state that survives crashes and timeouts.
- Build the skills and tool integrations that give the agent deep knowledge of the Vercel platform, such as deployments, functions, logs, metrics, DNS, and the full lifecycle of a web application.
- Ship polished, user-facing experiences across multiple surfaces (Slack, dashboard, CLI) without waiting for a designer to hand you a mockup. This team values engineers with strong product and UI instincts.
- Develop the infrastructure for dynamic skill injection, so the agent acquires new capabilities at runtime rather than through redeployment, routing the right logic to the right context at the right time.
- Collaborate with other engineers on prompt engineering, model evaluation, and retrieval-augmented generation (RAG) pipelines that ground the agent in accurate, up-to-date knowledge.
About you:
- 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.
Bonus if you:
- 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.