Enterprise AI Security Engineer — Secure, Scalable Applications

Leadout Capital; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Leadout Capital seeks an Enterprise Application Security Engineer to partner with stakeholders and technology teams to secure AI tooling deployed at scale. You will assess AI technologies, design mitigations, and contribute to secure development practices.

The role requires extensive experience in application security, pen testing, and building automated tooling, with a focus on securing LLMs, agent systems, and AI pipelines within a fast-paced environment.

Qualifications

• 5+ years in security engineering including application security and pen testing.
• 8+ years in security engineering including application security and pen testing (Lead/LMTS).
• Experience building automated tooling to identify and solve problems at scale.
• Experience with large language models (LLMs) and agentic systems, and securing them.

Responsibilities

• Conduct in-depth security assessments of AI technologies, including architecture and design reviews, code reviews, and pen tests; provide remediation guidance.
• Threat model attacker methods and develop mitigation techniques balancing security with functionality.
• Collaborate with engineering and business teams to drive secure SDLC and define security standards.
• Research emerging threats and vulnerabilities to support planning and process improvements.
• Build tools to enable secure use of AI at scale.

Skills

Security engineering

Application security

Penetration testing

Threat modeling

Automation tooling

AI security

Collaboration

Education

Technical degree

Tools

Secure SDLC

Job description

Leadout Capital seeks an Enterprise Application Security Engineer to partner with stakeholders and technology teams to secure AI tooling deployed at scale. You will assess AI technologies, design mitigations, and contribute to secure development practices.

The role requires extensive experience in application security, pen testing, and building automated tooling, with a focus on securing LLMs, agent systems, and AI pipelines within a fast-paced environment.