Founding Security Engineer (AI)

TL;DR

Founding Security Engineer (AI): Shaping and owning the security program for an AI system used in legal litigation, spanning infrastructure, product, and compliance. Focus on embedding secure-by-design practices, proactive detection, and demonstrating security posture to customers for commercial advantage.

Location: On-site in London

Salary: £75,000–£100,000 (offers equity)

Company

hirify.global is a rapidly growing legal AI company building an AI system for litigation, backed by Pear VC and other leading industry angels.

What you will do

• Take ownership of existing security tooling and implement new ones (e.g., EDR, MDM, access controls).
• Embed secure-by-design practices into the development lifecycle from secure coding to CI/CD hardening.
• Monitor systems for irregular behavior and proactively design detection and prevention mechanisms.
• Ensure infrastructure and applications align with industry standards like OWASP Top 10 and AWS Well-Architected.
• Conduct and lead risk assessments, including third-party/vendor reviews.
• Document and maintain security policies, procedures, and controls for ISO 27001-certified ISMS.
• Partner with GTM and leadership to demonstrate security posture and compliance maturity to customers.

Requirements

• Hands-on experience deploying and managing security tooling (EDR, MDM, ZTNA, vulnerability scanners).
• Experience within AWS’s security ecosystem and comfortable navigating enterprise security tools.
• Solid foundations in networking, systems, and cloud infrastructure, applying frameworks like OWASP and AWS Well-Architected.
• Experience reviewing and improving product and infrastructure security, including secure SDLC practices.
• Familiarity with compliance frameworks like ISO 27001 or SOC 2.
• Enjoy automating repetitive security tasks (Python, PowerShell, Bash, or via APIs).
• English: B2 required.
• Work format: On-site in London required.

Culture & Benefits

• Competitive salary and significant equity.
• Huge autonomy and ownership in designing and building core AI systems.
• Budget for learning and professional growth.
• Bi-annual team retreats.
• Work closely with experienced founders and a team of AI scientists and engineers.