Build secure agent runtimes, libraries, and reference implementations while implementing core agent patterns like planner/executor, tool routing, and RAG boundaries
Build and secure MCP servers, clients, tool registries, and connector patterns with robust authentication, authorization, and audit logging
Enforce secure-by-default controls including schema validation, tool allowlists, redaction, and policy checks
Threat model and test agent workflows for prompt injection and data exfiltration to build repeatable security evaluations
Requirements
Extensive experience designing and implementing agent runtimes including planning, tool calling, and memory/state controls
8+ years of experience shipping production security engineering solutions with strong coding skills in Python, TypeScript, or Node
Practical experience integrating frontier model APIs with structured outputs, streaming, and safety controls
Familiarity with agent frameworks such as LangGraph, LangChain, or Semantic Kernel and the ability to extend them securely
Solid experience in cloud security for AWS, GCP, or Azure along with Kubernetes security and Infrastructure as Code