SoftwareEngineer

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. As an SDE 1 on this team, you will contribute to the design, development, testing, deployment, and operation of security-focused software systems that help identify and mitigate vulnerabilities across AI-integrated applications. This is an opportunity to work at the intersection of AI safety, security research, and platform engineering within one of Amazon's most innovative organizations. Key job 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 tools including foundational models, MCP servers, agents, and agent skills/capabilities. - Deliver working software features end-to-end, working backwards from customer requirements 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. - Proactivel