Software Engineer, AI Security

Job summary

DESCRIPTION We are building a first-of-its-kind vulnerability auditing and review platform for LLM and foundational model integrated software — including components like foundational models, MCP servers, agents, and agent skills/capabilities.

Benefits

Qualifications

• through production deployment and ongoing operations.
• Refactor and deprecate existing systems as the platform evolves, ensuring long-term maintainability and extensibility.
• Security & AI Safety Engineering
• Develop automated scanning and analysis tooling to identify security vulnerabilities in AI-integrated software components.
• Implement detection mechanisms for adversarial attacks, prompt injection, capability boundary violations, and other LLM-specific threat vectors.
• Collaborate with applied scientists to translate AI safety research into production-grade platform features.
• Apply secure coding practices and threat modeling to all platform components.
• Operational Excellence
• Own operational health of your features — monitor, alarm, triage, and resolve production issues.
• Identify root causes of operational failures and implement permanent fixes; never settle for the status quo.
• Proactively identify and execute on opportunities to improve the team's operational posture (automation, runbooks, telemetry, dashboards).
• Make effective priority tradeoffs between new feature development and operational improvements.

Responsibilities

• Platform Development & Feature Delivery
• Design, implement, test, deploy, and maintain security-focused features for the vulnerability auditing and review platform.
• Build and extend vulnerability detection capabilities for LLM-integrated services and

Skills

Degrees

Industry

Company size