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’re an experienced software engineer who will join an engineering team that is building and maintaining our flagship AI Security Platform.  

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. 


What you will be doing:

  • 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. 


Who you are:

  • Competent coding with Python, TypeScript, or a similar language. 
  • Collaborative—comfortable working together to build quality fast (e.g. pair programming). 
  • Curious—always looking for ways to improve our tech and product for customers. 
  • Comfortable working across the stack as part of a small startup team. 
  • 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. 
  • Able to work onsite from our lovely office in Canary Wharf the majority of the time. 


You’ll stand out if you:

  • Have experience creating and integrating systems with MLOps infrastructure. 
  • Have experience creating and integrating systems into XDRs or SEIMs (Defender, Sentinel, etc). 
  • Have Experience with Azure. 



  • Competitive salary 
  • 33 days vacation 
  • Flexible working options 
  • Learning & development budget 
  • Company equity 
Mindgard - AI Secured  | Product Hunt