Software Engineer, Guardian OpenAI in London

Software Engineer, Guardian OpenAI in London

London Full-Time 80100 - 97900 £ / year (est.) On-site
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At a Glance

  • Tasks: Design and build systems that evaluate AI behaviour and ensure user safety.
  • Company: Join OpenAI, a leading AI research and deployment company in London.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact on AI safety while working with cutting-edge technology.
  • Qualifications: Experience in software development and understanding of AI systems is essential.

The predicted salary is between 80100 - 97900 £ per year.

Software Engineer, Guardian Overview

The role

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 Open AI.

This role is based in our London office.

What you'll do

  • 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 Open AI.
  • 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.
  • You might thrive in this role if you
  • 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 ambiguity, take initiative, and communicate clearly across technical disciplines.
  • Care deeply about building AI systems that are useful, trustworthy, and safe.
  • About Open AI

Open AI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity.

We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.

AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see Open AI’s Aff… .

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates.

For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information.

In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify Open AI that you believe this job posting is non‑compliant, please submit a report through this form .

No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link .

Open AI Global Applicant Privacy Policy

At Open AI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared.

Join us in shaping the future of technology.

  • Visa sponsorship: check with employer

Software Engineer, Guardian OpenAI in London employer: Abundant Code

Capgemini is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration within the Energy & Utilities sector. With a strong commitment to employee wellbeing, extensive training opportunities, and a culture that prioritises inclusivity and talent development, Capgemini empowers its employees to drive meaningful change through data and AI. As a leader in ethical business practices, the company not only supports career growth but also encourages exploration and continuous learning, making it an attractive place for professionals seeking impactful and rewarding careers.

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Contact Details:

Abundant Code Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer, Guardian OpenAI in London

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We think you need these skills to ace Software Engineer, Guardian OpenAI in London

Software Engineering Fundamentals
Production Software Development
Backend Services Design
API Development
Infrastructure Management
AI Agents Experience
Large Language Models Knowledge

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Abundant Code.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Abundant Code and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Abundant Code

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Abundant Code uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.