Senior AI Security Engineer

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Develop cutting-edge software to enhance and expedite cybersecurity tools for AI.

• Work alongside research and product teams to transform research code into alpha product iterations.

• Identify high-impact MVPs for complex security and identity challenges.

• Create prototypes, validate them with partner teams, and refine them into production-ready services.

• Design reusable skills, CLI tools, APIs, and integration patterns for secure agent adoption across enterprise tools and platforms.

• Collaborate with teams in Enterprise Security, Product Security, Enterprise AI, Enterprise Product, and platform divisions.

• Ensure architectural alignment with actual workflow requirements and operational limitations.

• Establish durable codebases derived from intricate problems and basic prototypes.

⛳️ Requirements

• A Bachelor’s degree, Master’s degree, or equivalent experience in Computer Science or a related discipline.

• Over 8 years of experience in software engineering, security engineering, or related fields, including hands-on technical leadership.

• Exceptional software engineering capabilities, including the development of backend services, APIs, automation, or platform components across various programming environments.

• Capability to swiftly learn new paradigms, frameworks, and tools as necessary.

• Experience with multi-contributor software projects and long-term software initiatives.

• Knowledge in creating agents, AI tools, and architectures.

• Proven history of defining problem spaces, establishing an MVP, quickly prototyping, and transitioning ideas into production systems.

• Familiarity with offensive security, adversarial thinking, red teaming, or attack-path analysis.

• Ability to integrate offensive-security insights into architectural decisions and security trade-offs.

• Adaptability and readiness to frequently collaborate across organizational boundaries.

• Strong focus on human-centered design.

• Proficient in creating reusable frameworks, understanding and refining requirements, and developing tools that enhance engineering speed and consistency.

• Extensive experience with open-source projects, including community engagement, workflow, and governance.

• Familiarity with agentic or AI-adjacent systems, such as tool-using applications, workflow orchestration, evaluation loops, policy controls, memory/context services, or trust and discovery systems.

• Awareness of AI-specific security risks, including injection, tool misuse, unauthorized access expansion, data exfiltration, or unsafe delegation patterns.

🏝️ Benefits

• Equity

• Benefits