Software Engineer, AI Security

This on-site role in Seattle, WA offers a competitive salary range of USD 143,700 to 194,400 per year, plus a comprehensive benefits package. You will contribute to a vulnerability auditing and review platform for LLM and foundational model integrated software, collaborating with applied scientists to translate AI safety research into practical, production-ready security features.

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance
• Basic Life & AD&D insurance
• Optional Supplemental life plans
• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Responsibilities

• Create and maintain security focused features for the vulnerability auditing and review platform, covering design, testing, deployment, and ongoing support.
• Expand vulnerability detection for LLM integrated services, including foundational models, MCP servers, agents, and agent skills and capabilities.
• Deliver end-to-end software features driven by customer needs, from concept through production rollout and ongoing operations.
• Refactor and phase out legacy components as the platform evolves to ensure long term maintainability and extensibility.
• Develop automated scanning and analysis tools to identify security weaknesses in AI integrated software components.
• Implement detection mechanisms for adversarial attacks, prompt injection, capability boundary violations, and other LLM specific threats.
• Collaborate with applied scientists to convert AI safety research into production grade platform features.
• Apply secure coding practices and threat modeling across all platform components.
• Own the operational health of features by monitoring, alerting, triaging, and resolving production issues.
• Identify root causes of failures and implement permanent fixes; continuously improve the operational posture.
• Proactively seek opportunities to improve automation, runbooks, telemetry, and dashboards to boost efficiency.
• Balance new feature work with operational improvements through thoughtful prioritization.
• Design solutions that clarify complex problems with visible risks or roadblocks.
• Contribute to code reviews with constructive feedback for engineers at all levels.
• Document platform construction, testing, operation, and security, and its role within the broader AI safety ecosystem.
• Keep skills current by evaluating industry innovations in security, AI safety, and software engineering.
• Mentor SDE 1s and new team members to accelerate productivity and professional growth.
• Train teammates on platform architecture, operational practices, and team norms.
• Support hiring efforts through interviews, candidate assessments, and contributing to bar-raising standards.
• Collaborate with customers, stakeholders, and peers to understand business value and ensure the platform solves the right problems.
• Resolve disagreements with peers through constructive and inclusive dialogue.
• Communicate clearly about status, risks, tradeoffs, and outcomes of your work.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience focusing on reliability and scaling
• 1+ years designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications using C#, C++, Java, or Perl
• 1+ years of Object Oriented Design experience
• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Technologies

• C#
• C++
• Java
• Perl