Software Engineer, Guardian

The Guardian team builds practical safety and oversight systems for increasingly capable AI agents. Our goal is to make it possible for agents to take on longer-running, higher-autonomy work while preserving meaningful safeguards, respecting user intent, and intervening when actions could cause serious or difficult-to-reverse harm.

Auto-review is an early example of this work. When an agent reaches a permission boundary, a separate model evaluates the proposed action in context and determines whether it should proceed. The team is now extending this foundation into more capable oversight systems that account for richer user context, support a broader range of agent experiences, and integrate across OpenAI products.

Guardian sits at the intersection of engineering, alignment research, product, infrastructure, and security. The team already has a strong engineering foundation in London and will continue to grow there as a concentrated, highly collaborative group.

We are looking for a Software Engineer to join the Guardian team in London. You will design and build production systems that evaluate agent behavior, identify risk, and take appropriate action without creating unnecessary friction for users.

This is a hands-on engineering role with substantial technical depth and ownership. You will work across architecture, implementation, evaluation, and operations, taking projects from early exploration through production deployment. The work requires strong engineering fundamentals, sound product judgment, and comfort solving problems where both the requirements and the underlying technology are evolving.

You will work closely with alignment researchers to translate emerging research into dependable systems, and with product and engineering teams to make agent safety a foundational capability across OpenAI.

This role is based in our London office.

• Design, build, and operate core components of Auto-review and the broader Guardian platform, balancing safety, product utility, latency, and operational reliability.

• Build production systems that evaluate agent actions in real time, detect potentially harmful behavior, and support safe recovery or escalation paths.

• Improve how oversight systems understand user intent, environmental context, permissions, and relevant personalization signals while protecting privacy and avoiding unnecessary friction.

• Partner closely with alignment researchers to turn prototypes, evaluations, and new monitoring techniques into scalable product capabilities.

• Work across Product, Security, Infrastructure, and other engineering teams to integrate Guardian capabilities into agent experiences throughout OpenAI.

• Develop evaluations, adversarial tests, and monitoring to understand safety performance, false positives, latency, and user impact.

• Own projects end to end, contribute to technical direction and design reviews, and investigate failures to improve system behavior and reliability.

• Have experience building and shipping complex production software, with ownership across design, implementation, deployment, and operation.

• Have built with AI agents or large language models in a core product, startup, or technically serious independent project, and understand the unique challenges of agentic systems.

• Bring strong software engineering fundamentals and can design reliable backend services, APIs, and infrastructure.

• Exercise sound product-engineering judgment and can navigate tradeoffs across safety, usability, speed, and reliability.

• Enjoy working closely with researchers, translating open-ended ideas into practical systems, and using experiments and evaluations to guide decisions.

• Are comfortable with…