Software Engineer, Agent

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like  OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

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.

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.

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_.

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you _build_ your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $232,000 - $348,000 (Staff level IC and above). Actual salary will be based on job-related skills, level/experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.