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AI Security Software Engineer (GenAI & LLM Security)

Summary

Build and secure enterprise-grade AI platforms for GenAI/LLM applications, including automated security testing and cloud-native architectures using Python, Kubernetes, and DevSecOps.

Salary: £85,000 - 90,000 per year

Requirements:
  • We need 7+ years of experience in software engineering or security engineering.
  • We need strong Python and/or Go development experience.
  • We need experience designing secure APIs and enterprise software.
  • We need knowledge of cloud-native architectures and distributed systems.
  • We need experience with Kubernetes, OpenShift, or containerised deployments.
  • We need familiarity with CI/CD, DevSecOps, and secure software development practices.
  • Experience with Generative AI, LLMs, Prompt Engineering, or AI Security is highly desirable.
  • We need excellent communication and stakeholder management skills.
Responsibilities:
  • We design, build, and enhance secure platforms that protect Generative AI and LLM applications.
  • We develop automated security testing frameworks to validate AI protection mechanisms.
  • We build secure, scalable APIs and enterprise software solutions.
  • We contribute to the architecture and design of cloud-native, distributed applications.
  • We collaborate with engineering, cyber security, and operations teams across global locations.
  • We develop software that performs reliably at enterprise scale.
  • We help define best practices for AI security, secure software development, and cloud-native engineering.
Technologies:
  • AI
  • CI/CD
  • Cloud
  • DevSecOps
  • Kubernetes
  • LLM
  • OpenShift
  • Python
  • Security
  • Git
  • Jenkins

More:

We are a leading global technology consultancy expanding our AI Security and Engineering practice. We are building secure, enterprise-grade AI platforms that protect Large Language Model applications from emerging threats. This is a London-based hybrid role, with 1-2 days per week in the office. We offer a salary of up to £90,000, plus bonus and an excellent benefits package, including structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside experts in cloud, cyber security, and artificial intelligence.

last updated 32 week of 2026

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