AI Security Engineer (LLM and Autonomous AI systems)

We are building AI systems and autonomous tools used in real operational environments. These systems combine LLM pipelines, AI agents, cloud infrastructure, and distributed software platforms.

Our goal is to deploy powerful AI capabilities safely and reliably in production. We are looking for engineers who can design and implement the security architecture required to operate modern AI systems at scale.

About the Role

This role focuses on securing AI infrastructure, agentic LLM systems, and AI deployment pipelines. You will work at the intersection of cybersecurity, cloud infrastructure, and AI engineering.

The successful candidate will design security controls for AI systems, build production-grade security tooling, and ensure safe deployment of AI agents and LLM workflows across the organization.

Responsibilities

AI Systems Security

• Architect security controls for agentic AI systems and LLM pipelines.
• Design and implement production-grade security tooling for AI infrastructure.
• Secure AI agents, tools, and LLM workflows used across internal and external systems.
• Implement monitoring systems for anomalous LLM behavior and agent activity.

AI Threat Modeling & Defense

• Mitigate AI-specific threats including prompt injection, adversarial inputs, model inversion attacks, and agent misuse.
• Design secure permission models for AI agents and tool access.
• Implement detection and response strategies for abnormal AI behavior.

Infrastructure & Cloud Security

• Secure cloud environments, infrastructure, and AI deployment pipelines.
• Implement data security practices including access control, encryption, and governance.
• Ensure application security across AI services, APIs, and agent frameworks.
• Integrate security practices into DevOps pipelines and CI/CD workflows.

Network & Platform Security

• Design network security architecture and monitoring systems for AI infrastructure.
• Conduct continuous monitoring, logging, and threat detection.
• Develop governance frameworks and ensure compliance with security standards.

Collaboration

• Work closely with engineering, infrastructure, and product teams to securely deploy AI capabilities.
• Partner with platform teams to integrate security into development workflows.

Qualifications

• Strong software engineering background with experience building production systems.
• Experience with AI systems, LLM pipelines, or AI infrastructure platforms.
• Deep knowledge of cloud security (AWS, GCP, or Azure).
• Strong understanding of infrastructure security and distributed systems.
• Experience securing APIs, applications, and microservices.
• Experience implementing security practices in DevOps or CI/CD pipelines.
• Strong understanding of data security, privacy, and access control models.
• Familiarity with adversarial machine learning or AI threat modeling.

Preferred Experience

• Experience building AI security platforms or safety infrastructure.
• Experience working with LLM frameworks or agent frameworks.
• Experience operating large-scale distributed systems.
• Experience working in cross-functional AI and infrastructure teams.

Why Join

You will help design the security architecture for real AI systems deployed in production environments. This role sits at the intersection of cybersecurity, AI engineering, and autonomous systems, ensuring that powerful AI technologies can be deployed safely and reliably. We have offices in Palo Alto (CA) USA and Seoul, Korea. Compensation can range from $100k to $240k (+equity) depending on experience, seniority, and location. Exceptional candidates may be considered outside of this range.