AI Security Engineer (Agent & LLM Security)
1 month ago
We are building a next-generation intelligent computing platform that integrates advanced AI capabilities to power seamless user and enterprise experi.....
We are building a next-generation intelligent computing platform that integrates advanced AI capabilities to power seamless user and enterprise experiences. As AI agents and large language models (LLMs) become core components of modern systems, they also introduce new and complex security challenges—such as prompt injection, unauthorized API access, and data leakage.
Given that AI agents often operate with elevated privileges, improper access control or excessive data exposure can lead to system compromise, privacy risks, and unintended behaviors.
To address these challenges, we are expanding our AI Security R&D team to design and implement robust, system-level protections for AI-driven environments across mobile, desktop, and IoT platforms.
Key Responsibilities
- Design and implement security mechanisms to safeguard AI agents and LLM-powered systems
- Develop and enhance access control frameworks, including dynamic least-privilege models and sandboxing mechanisms
- Secure AI system interactions, including APIs, plugins, and tool integrations
- Identify, analyze, and mitigate emerging threats in AI systems (e.g., prompt injection, adversarial attacks)
- Collaborate with cross-functional teams to integrate security into system architecture and AI workflows
Required Technical Expertise
We are looking for candidates with strong experience in one or more of the following areas:
System Programming
- Proficiency in C/C++ for low-level or system programming (e.g., kernel modules, system services)
Operating System Security
- Deep understanding of OS security mechanisms, including:Mandatory Access Control (e.g., SELinux, AppArmor)Kernel hardening (memory protection, syscall filtering)Secure API design and enforcement
AI / LLM Security
- Familiarity with AI-specific security risks, including:Prompt injection attacksAdversarial machine learning techniquesRisks from over-privileged AI agents
Platform Security
- Experience with security frameworks across mobile, desktop, or Linux-based systems
Qualifications
- Master’s or PhD in Computer Science, Cybersecurity, Artificial Intelligence, or related fields
- Industry experience in operating system or platform security (e.g., Linux, Android, iOS)
- Strong problem-solving skills and a security-first mindset
- Publications or patents in cybersecurity are a plus (not required)
Preferred Experience
- Hands-on experience working with AI agents or AI-enabled systems
- Contributions to system-level or open-source security projects (e.g., Linux kernel, Android AOSP)
- Experience designing or implementing access control or sandboxing frameworks
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