Responsibility • Build AI security solutions for enterprise customers. • Design and implement security controls for agentic AI systems, including agents, tools, and agent-to-agent interactions. • Work cross-functionally with PM and QA teams to deliver secure and scalable solutions. • Develop pre-sales and post-sales tools and environments to support customer evaluations, deployments, troubleshooting, and integration. • Research emerging technologies and security trends to identify new opportunities and develop innovative solutions. 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 a related field, or equivalent practical experience. • 3+ years of backend development experience, including cloud-native infrastructure, networking, and building reliable services at scale. • Solid understanding of application and network protocols, such as HTTP, gRPC, and WebSocket, and/or hands-on experience with reverse proxies, API gateways, or identity-aware proxies. • Self-drive and proactive with strong problem-solving and debugging skills and a focus on delivering high-quality solutions. Strong Plus • Hands-on experience with the agentic AI ecosystem, including MCP, tool calling, and agent frameworks. • Experience with LLM and agent security, including areas such as prompt injection, tool poisoning, jailbreaks, and agent security controls. • Background or professional experience in cybersecurity, particularly application security, network security, identity, or API security.