AI Agent Abuse Prevention Engineer (Cybersecurity)

TL;DR

AI Agent Abuse Prevention Engineer (Cybersecurity): Leading the detection, mitigation, and governance of abuse stemming from AI agents across product integrations with an accent on threat modeling, secure agent architecture, and anomaly detection. Focus on building robust mitigation controls, defining attacker playbooks, and collaborating across engineering teams to ensure secure AI agent deployment.

Location: Must be based in the United States (Remote/Hybrid)

Salary: $200,000–$300,000

Company

hirify.global provides a customer service software platform designed to power billions of conversations between brands and their customers.

What you will do

• Lead threat modeling for AI agent features, APIs, and integrations to identify risks like prompt injection and data leakage.
• Design and prototype mitigation controls including input/output sanitization, policy gates, and sandboxing.
• Build anomaly detection rules and behavioral analytics to identify and contain agent-enabled abuse patterns.
• Collaborate with Platform and Product teams to integrate secure defaults into agent SDKs and API flows.
• Act as a subject-matter expert for incident response and forensics involving AI agent investigations.
• Represent the company in industry forums regarding AI agent safety and security standards.

Requirements

• 10+ years of professional experience in cybersecurity, software engineering, or ML security.
• Deep understanding of application/API security, OAuth, session management, and modern authentication patterns.
• Practical experience with LLMs and agents, including prompt engineering risks and mitigation strategies.
• Strong track record of leading cross-functional technical initiatives and influencing product decisions.
• Excellent communication skills with the ability to translate technical risk into business and legal terms.
• Experience working within a SaaS company environment.

Nice to have

• Experience with incident response and forensic investigations involving data exfiltration.
• Background in privacy and compliance frameworks such as SOC2 or GDPR.
• Advanced degree in Computer Science, Security, or relevant certifications like OSCP or CISSP.

Culture & Benefits

• Hybrid work model allowing for both remote flexibility and in-person collaboration at company offices.
• Commitment to global diversity, equity, and inclusion in the workplace.
• Equal opportunity employer with support for reasonable accommodations.
• Focus on fostering a fulfilling and inclusive employee experience.