Mindgard is a London-based startup specializing in AI security.

We’ve spun-out from a leading UK university, and our mission is to secure the future of AI against cyber attacks targeting Deep Learning, GenAI, and LLMs. This is an unsolved challenge globally, and we are among the world’s first to offer a solution to this rapidly growing problem.

We’ve raised $4M from an excellent group of investors, released our first product offering: Mindgard AI Security Labs, and continue to build a team of engineers to join us on our journey.

The role:

You will join an engineering team that is building and maintaining our flagship AI Red Teaming Platform. You’ll help customers adopt AI while staying secure from the new security threats that affect AI models.

You’re someone who thrives in a close-knit team with a highly collaborative and supportive atmosphere, where people care greatly about their mission to help people safely benefit from AI.

You’ll work on capabilities across SaaS Webapps, to integrations that protect customer systems, to internal tooling that powers our AI threat intelligence. We use a variety of tooling across the tech stack, including Python, TypeScript, Postgres, Kubernetes, Docker, Terraform, Azure.

In this role you’ll be:

  • Building, testing, and continuously delivering small, high quality changes to production.
  • Pair programming with others on the team to collaboratively build and share knowledge.
  • Working with product stakeholders to plan and design improvements to our platform.
  • Joining customer calls to understand their needs and help design solutions.
  • Evolving our architecture to support changing commercial and customer needs.
  • Growing other engineers; sharing your experience, providing feedback and mentoring.
  • Participating in on-call rota to support the systems you are building.

We are looking for people who are:

  • Kind—sharing our values.
  • Curious—always looking for ways to improve our tech and product for customers.
  • Mission-driven—care deeply about helping people use AI safely.
  • Comfortable working across the stack as part of a small startup team.
  • Competent coding with Python, TypeScript, or a similar language.
  • Collaborative—comfortable working together to build quality fast (e.g. pair programming).
  • Experienced building SaaS products that delight customers, from conception to production.
  • Experienced with building and operating production distributed systems.
    Experienced with cloud native, containers, Kubernetes.
  • Confident working with data pipelines and a variety of databases.

You’ll stand out if you:

  • Have experience building cyber security products.
  • Have experience working in startups.
  • Have experience as a site reliability engineer or similar role.
  • Have experience working with extreme programming practices such as pair programming, tdd, trunk based development, and close customer collaboration.
  • Are able to work onsite from our lovely office in Canary Wharf the majority of the time.


  • Competitive salary
  • 33 days vacation
  • Flexible working options
  • Learning & development budget
  • Company equity

Our Selection Process:

  1. An initial call to help you get to know us better and to share more information about Mindgard and the role.
  2. A challenge related to the job. This will really help us understand your skillset and give you an idea of the type of things you will be working on at Mindgard.
  3. An opportunity to meet with a few members of the Mindgard team.
  4. An interview with our Co-founder.
  5. Offer 🎉

Before you go, we want you to know!

Studies have shown that some groups of people are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, If you don’t meet all of the above criteria, but you think you’d be a great addition to Mindgard, we encourage you to apply as you might just be the candidate we hire. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.