Senior Security Engineer

You’ll be responsible for designing, developing, optimising and enhancing a GenAI prompt security platform, alongside building automated security testing capabilities to validate protection mechanisms across a range of LLM use cases.

You’ll collaborate with Engineering, Operations and technology teams to deliver secure, scalable and resilient solutions., * Design, develop, optimise and enhance a GenAI prompt security platform.

• Protect AI and LLM-based applications against adversarial attacks and prompt injection.
• Build and automate a security testing framework for a range of LLM use cases.
• Develop solutions designed to operate reliably and perform at scale.
• Contribute to the architecture and design of new and existing systems, including reliability, scalability and design patterns.
• Design and implement secure APIs and software libraries.
• Work across the full software lifecycle, from design and implementation through to running enterprise solutions.
• Collaborate with Engineering, Operations and technology stakeholders across different teams and time zones.
• Support Cyber Engineering and Operations initiatives, including DevSecOps and MLSecOps.

Are you an experienced Security Engineer with a strong interest in Generative AI, LLM security and cyber engineering?, We’re looking for someone who combines strong software engineering fundamentals with a genuine interest in AI and Cyber Security.

You’ll ideally have:

• 7+ years’ relevant industry experience.
• Strong experience delivering enterprise software solutions across the full lifecycle.
• Expertise in a major programming language such as Python and/or Go.
• Experience with associated development tooling such as Git, Maven, IDEs and Jenkins.
• Strong experience designing and implementing secure APIs and libraries.
• Experience contributing to software architecture and design, including design patterns, reliability and scalability.
• Experience with containerised deployment, ideally using technologies such as Kubernetes or OpenShift.
• Experience within Cyber Engineering, DevSecOps or MLSecOps environments.
• Excellent problem-solving, communication and stakeholder management skills.
• A degree in a relevant discipline or equivalent professional experience.

Desirable Experience

Experience in one or more of the following would be advantageous:

• Generative AI / GenAI
• Large Language Models (LLMs)
• LLM frameworks
• Prompt engineering
• AI/LLM adversarial testing
• AI security or prompt injection defence