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AI Security Institute

Offensive Security Engineer

Offensive Security & TestingConfirmed live in the last 24 hours
Full-timeLondon, UKHybrid

About the Job

Requirements

  • Substantial hands-on offensive security experience in red teaming, penetration testing, vulnerability research, or exploit development, with findings that can be discussed in depth.
  • Depth in at least two of cloud and infrastructure, container/VM/sandbox escape, application security, or vulnerability research and exploit development.
  • Strong Python and/or another language such as Go, Rust, or C, and a track record of writing and maintaining tools used by others.
  • Experience testing live systems safely.
  • Clear written and verbal communication, including producing findings engineers can act on, and the ability to get issues fixed in teams the candidate does not manage.
  • A serious interest in the direction of frontier AI and motivation to help make it safe.

Responsibilities

  • Test evaluation sandboxes, including container and virtual machine escape, egress controls, and attacks on the evaluation host from inside the sandbox.
  • Find vulnerabilities in the Inspect open-source evaluation framework and its surrounding infrastructure, and coordinate fixes and disclosure with maintainers and downstream users.
  • Build, operate, and maintain agent-assisted red-teaming harnesses end to end; run them alongside manual testing against each new sandbox and evaluation-infrastructure release before evaluations depend on it.
  • Triage agent findings by separating real issues from noise and confirm valid findings with working exploits.
  • Run agent and human red-teaming against the same targets and feed lessons back into tooling.
  • Plan and run scoped engagements against cloud, identity, model-access paths, and the research platform, including joint exercises with the detection team.
  • Help build and harden cyber ranges, review evaluation tasks for realism and scoring, and provide human baselines.
  • Scope and review external penetration tests.
  • Keep model-assisted offensive work within internal safety governance and approval processes.
  • Where appropriate, publish research, write blog posts, and give talks on sandbox security and AI-assisted offensive work.

Desired Qualifications

  • Experience building or using large language model agents for security work.
  • Experience with Linux internals, kernel or hypervisor security, and isolation technologies such as Kubernetes, gVisor, Firecracker, or Proxmox.
  • Experience with capture-the-flag challenge design, cyber range building, or offensive training content.
  • Published CVEs, research, conference talks, or open-source security tools.
  • Experience with coordinated vulnerability disclosure.
  • Experience with machine-learning evaluation frameworks and AI/machine-learning platforms.
  • Experience mentoring other engineers and raising a team's technical level.

About the Company

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2023

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