Software Engineer (Agent Security)

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.