AI Security Engineer — LLM/Agent Defense

ByteDance; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) matching

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Sick leave

Paid personal time

Job summary

ByteDance is seeking a Network Security Engineer to architect and implement security features for cloud-native and edge environments, including WAF, Bot Management, and API Security. The role focuses on AI-native security capabilities, LLM/Agent abuse prevention, and risk detection, with active involvement in AI Agent open-source projects to drive real-world adoption.

The ideal candidate has 3+ years of software security experience and hands-on development of LLM/Agent-based systems, plus strong

Qualifications

• 3+ years of software engineering experience in security, networking, AI, or related domains.
• Proficiency in at least one of Go, Python, or TypeScript, with a track record of building complex, scalable systems.
• Hands-on experience developing LLM/Agent-based systems (e.g., tool/function calling, context management, or related security implementations)
• Strong communication skills and a self-driven mindset, with the ability to deliver results in fast-paced and ambiguous environments.

Responsibilities

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

Skills

Security engineering

Go

Python

TypeScript

LLM/Agent development

Communication

Job description

ByteDance is seeking a Network Security Engineer to architect and implement security features for cloud-native and edge environments, including WAF, Bot Management, and API Security. The role focuses on AI-native security capabilities, LLM/Agent abuse prevention, and risk detection, with active involvement in AI Agent open-source projects to drive real-world adoption.

The ideal candidate has 3+ years of software security experience and hands-on development of LLM/Agent-based systems, plus strong