AI Agent Security Software Engineer Graduate

About the Role

The Security Engineering team at ByteDance builds and operates core systems protecting a large internet platform and its global user community. We address challenges in threat detection and response (TDR), infrastructure protection, and AI/LLM system security at the scale of TikTok and ByteDance. Our engineers possess deep systems-building expertise and strong security fundamentals, delivering high-impact, production-grade solutions in a fast-paced, globally distributed environment. This role offers opportunities for ownership, solving ambiguous problems, and safeguarding products used by billions. As a graduate, you will pursue bold ideas, tackle complex challenges, and experience limitless growth.

Key Responsibilities

• Build and iterate on threat detection, prevention, and response (TDR) systems for large-scale platforms, critical infrastructure, and globally distributed endpoints.
• Support the security of LLM-based systems and AI agent systems by identifying attack surfaces, developing defensive mechanisms, and improving safe deployment.
• Contribute to rapid exploration in LLM and AI agent security through prototyping, evaluation, security analysis, machine learning, and AI agentic approaches.
• Develop, test, deploy, and improve distributed security systems with a focus on reliability, observability, and scalability.
• Work with cross-functional teams to translate product and security needs into engineering solutions and deliver impactful security capabilities.

Requirements & Tech Stack

• Minimum Qualifications:
• Individuals completing or recently completed a Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, or a related discipline.
• Solid fundamentals in computer science, including algorithms, data structures, operating systems, computer networks, and databases.
• Proficiency in at least one programming language such as Go, Java, Rust, Python, or C++, with the ability to write clean, reliable, and maintainable code.
• Foundational understanding of back-end development, distributed systems, or cloud-native infrastructure through coursework, internships, research, or project experience.
• Strong problem-solving skills, with the ability to think critically, break down complex problems, and learn quickly in a fast-evolving technical environment.
• Preferred Qualifications:
• Internship, research, or project experience building AI/LLM applications, AI agent systems, or related back-end and distributed systems.
• Familiarity with core security concepts such as authentication, authorization, threat detection, vulnerability mitigation, and secure system design.
• Research experience, or strong technical understanding, in the security of LLM-based systems and AI agent architectures, including areas such as prompt injection, tool misuse, model abuse, and agent workflow security.
• Demonstrated interest in security and emerging technologies through coursework, competitions, open-source contributions, personal projects, or publications.