Principal Agent Security Engineer

Responsibilities
Build AI security solutions for enterprise customers.
Design and implement security controls for agentic AI systems.
Provide technical leadership across product development, working closely with Product, Engineering, and QA teams to define architecture, drive technical decisions, and deliver secure and scalable solutions.
Develop pre-sales and post-sales tools and environments to support customer evaluations, deployments, troubleshooting, and integration.
Own and operate production services, including troubleshooting, performance optimization, reliability improvements, and ongoing hardening of security-critical systems.
Research emerging technologies and security trends to identify new opportunities and develop innovative solutions.
Drive technical strategy and product roadmap, including new feature design, architecture evolution.
Requirements
Strong software engineering skills in Python or Go, or in a systems language such as Rust or C/C++.
Bachelor’s degree or above in Computer Science, or equivalent practical experience.
8+ years of experience building and operating production backend services, including architecture ownership of security-critical and highly available systems.
Strong system design and architecture skills, with the ability to make sound technical trade-offs across security, scalability, reliability, and performance.
Self-driven and proactive, with strong problem-solving, debugging, and technical leadership skills and a focus on delivering high-quality solutions.
Strong Plus
Experience with LLM and agent security, including areas such as prompt injection, tool poisoning, jailbreaks, and agent security controls.
Agentic AI architecture — Deep understanding of MCP and A2A, with hands-on experience designing and building agentic AI systems, including tool-calling and agent frameworks.
Cybersecurity background — Professional experience in application security, network security, identity, API security, or other cybersecurity domains.