Software Engineer (Agent Security)

Responsibility

1. Build AI security solutions for enterprise customers.
2. Design and implement security controls for agentic AI systems including agents tools and agent-to-agent interactions.
3. Work cross-functionally with PM and QA teams to deliver secure and scalable solutions.
4. Develop pre-sales and post-sales tools and environments to support customer evaluations deployments troubleshooting and integration.
5. Research emerging technologies and security trends to identify new opportunities and develop innovative solutions.

Requirements

1. Strong software engineering skills in Python or Go or in a systems language such as Rust or C/C.
2. Bachelors degree or above in Computer Science or a related field or equivalent practical experience.
3. 3 years of backend development experience including cloud-native infrastructure networking and building reliable services at scale.
4. 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.
5. Self-drive and proactive with strong problem-solving and debugging skills and a focus on delivering high-quality solutions.

Strong Plus

1. Hands-on experience with the agentic AI ecosystem including MCP tool calling and agent frameworks.
2. Experience with LLM and agent security including areas such as prompt injection tool poisoning jailbreaks and agent security controls.
3. Background or professional experience in cybersecurity particularly application security network security identity or API security.