Senior Security Engineer (Red Team, AI)

TL;DR

Senior Security Engineer (Red Team, AI): Proactively identifying and exploiting vulnerabilities across product, cloud, and AI-powered systems with an accent on adversarial machine learning and GenAI attack simulation. Focus on designing novel attack chains, conducting penetration tests, and partnering with engineering teams to strengthen defenses against deepfakes and fraud.

Location: Must be based in the US (Remote)

Salary: $140,000 - $165,000 USD

Company

hirify.global is an identity trust platform for the AI era, providing continuous identity verification and deepfake detection for high-risk customer interactions.

What you will do

• Design and execute red team operations against GenAI systems, LLM pipelines, RAG architectures, and cloud environments.
• Conduct adversarial testing focused on prompt injection, jailbreaking, model extraction, and data poisoning.
• Use deepfake generation and voice synthesis techniques to test and defeat voice authentication capabilities.
• Develop novel attack chains combining GenAI vulnerabilities with infrastructure, application, and API weaknesses.
• Perform full-scope penetration tests and support bug bounty efforts across web applications and SaaS products.
• Partner with SecOps and security engineering to improve detections and translate findings into practical remediation.

Requirements

• Must be based in the US
• 3+ years of hands-on penetration testing and red team experience across SaaS, cloud, and web applications.
• Demonstrable experience attacking GenAI or LLM-based systems including prompt injection and jailbreaking.
• Hands-on experience with deepfake tools, voice synthesis, or audio/visual spoofing technologies.
• Strong proficiency with offensive security tooling such as Burp Suite, Nmap, Metasploit, or Cobalt Strike.
• Proficiency in Python for custom attack tooling and workflow automation.
• Familiarity with AI-specialized security frameworks like Garak or PyRIT.

Nice to have

• Prior software development or secure architecture experience.
• Research background in adversarial machine learning or LLM security.
• Relevant certifications such as OSCP, GPEN, GWAPT, or GXPN.
• Experience in voice biometrics or fraud prevention environments.

Culture & Benefits

• Remote-first environment with flexibility and autonomy.
• Competitive compensation including RSUs for all employees.
• Unlimited Paid Time Off (PTO).
• Generous health, dental, and vision plans with employer-paid options.
• Best-in-class HSA employer contribution.
• Annual Learning & Development stipend for professional growth.