Ai-native Security Agent Engineer

ByteDance ByteDance · Big Tech · San Jose, CA · R&D

This role focuses on engineering security features for AI-native systems, specifically addressing LLM/Agent abuse prevention, risk detection, and behavior analysis. The engineer will also contribute to AI Agent open-source projects.

What you'd actually do

  1. Architect and implement security features and systems for cloud-native and edge environments (including WAF, Bot Management, and API Security)
  2. Design and build security capabilities for AI-native systems, covering LLM/Agent abuse prevention, risk detection, and behavior analysis
  3. Deeply engage in AI Agent open-source projects, contributing to core capability evolution and driving real-world adoption through community collaboration

Skills

Required

  • software engineering experience in security, networking, AI, or related domains
  • Go, Python, or TypeScript
  • building complex, scalable systems
  • developing LLM/Agent-based systems (e.g., tool/function calling, context management, or related security implementations)

Nice to have

  • Proven technical contributions to open-source ecosystems (e.g., OpenClaw, Hermes Agent, LLM Guard)
  • Practical experience in LLM/AI Security (e.g., Prompt Injection defense, abuse prevention, content safety, or model risk control)

What the JD emphasized

  • LLM/Agent abuse prevention
  • LLM/Agent abuse prevention
  • AI Agent open-source projects

Other signals

  • AI-native systems
  • LLM/Agent abuse prevention
  • AI Agent open-source projects