AI Application Security Engineer

About the Role

Own application and product security for AI products used in regulated environments. You will partner with product and machine learning engineers to build security into agentic workflows integrations and the development lifecycle.

What Youll Do

• Set secure development standards for authentication authorization secrets management input handling and secure-by-default patterns.
• Integrate security reviews and automated checks into code review CI/CD pipelines and pre-deployment workflows.
• Threat-model product features and translate identified risks into practical controls.
• Build security tooling and automated code analysis using AI to extend review coverage.
• Define how agents are scoped and authorized including trust boundaries with external systems and APIs.
• Develop secure integration patterns for credential storage response validation and limiting agent actions.
• Work with product and ML engineers on tool permissions output validation and safe handling of user context across workflows.
• Create reusable agent security guidelines review checklists and code-level guardrails.

What Were Looking For

• At least 5 years of application or product security experience on production systems at scale.
• Recent hands-on coding experience and proficiency in Python Go or TypeScript for security tooling and automation.
• Strong application security fundamentals including OWASP Top 10 AuthN/AuthZ secure SDLC secrets management integration security and cryptography basics.
• Understanding of product-layer security risks in agentic AI including agent design scoping and risk review.
• Familiarity with compliance frameworks relevant to government and healthcare such as FedRAMP HIPAA SOC 2 or ISO 27001.
• A computer science degree or equivalent experience.

Compensation & Benefits

Base salary: $220000 to $300000 annually. Visa sponsorship is available.

Location

On-site in San Francisco California or remote within the United States.