AI Security Engineer (Agentic Systems)

Location: London, with genuine hybrid working

Company

hirify.global is an engineering consultancy focused on Quality Engineering, Cloud Platforms, Developer Experience, AI, security, and scalable systems.

What you will do

• Design and run red-team exercises against AI agents and agentic workflows, testing prompt injection, jailbreaking, tool misuse, agent hijacking, memory poisoning, and privilege escalation.
• Build repeatable evaluation methods for non-deterministic systems and measure, report, and mitigate hallucinations in agent and LLM outputs.
• Own account-wide agentic AI risk identification, governance, testing strategy, and tooling recommendations.
• Map risks and controls to OWASP agent risk categories, the OWASP Top 10 for LLM Applications, NIST AI RMF, and MITRE ATLAS.
• Define controls for internal and client-facing agent behaviour, including output review, sanitisation, release gating, rollback, and incident response.
• Advise delivery teams, represent agentic security posture to stakeholders and clients, and train security engineers to implement and automate the practice.

Requirements

• Hands-on experience red-teaming or adversarially testing LLM or agentic AI systems.
• Practical understanding of non-deterministic testing and detecting, quantifying, and mitigating hallucinations.
• Working knowledge of agentic AI risk frameworks, OWASP LLM risks, MITRE ATLAS, and AI governance frameworks such as NIST AI RMF.
• Experience with threat modelling, security reviews, and developing strategies that generalise across accounts and applications.
• Strong communication skills for explaining agentic AI risks to technical and non-technical stakeholders.
• Ability to implement tests directly before mentoring and training other security engineers.

Nice to have

• Experience with agent-hijacking or agent-specific evaluation tooling.
• Awareness of AI regulation, including EU AI Act adversarial and robustness-testing requirements.
• Experience with multi-agent or agent-mesh systems and inter-agent trust and authentication.
• Cloud security experience, preferably Azure, plus Terraform and CI/CD.
• Experience in a regulated sector such as financial services.

Culture & Benefits

• Genuine hybrid working, home office budget, flexible time off, and an open feedback culture.
• Profit share, competitive salary benchmarking, private healthcare, and employee assistance covering counselling, mental health, and financial wellbeing.
• Inclusive and collaborative communities, including interest-based groups, Women in Tech, monthly socials, and cross-regional events.
• Learning budgets, Udemy access, career framework, internal mobility, and thought leadership opportunities.
• Family-friendly working environment with flexibility and support for accessibility needs.