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.