AI Security Engineer

What you'll do

• Build and harden security tools and guardrails for AI agents, model-backed services, and supporting infrastructure.
• Design agentic-threat detections and automated response, containment, access revocation, and recovery capabilities.
• Develop reusable security architectures and frameworks, evaluate emerging tools, and partner with security and AI teams to operationalize solutions.

What they ask for

• 8+ years of experience in security engineering, detection and response, or related fields.
• Bachelor's degree (or equivalent experience) and strong software engineering expertise in Python, APIs, data pipelines, and security platforms.
• Hands-on experience securing AI and enterprise environments, including AI agents, LLM applications, tool/function calling, retrieval and memory, orchestration frameworks, and MCP integrations.
• Foundation in security operations and architecture, including detection and response engineering, automation, telemetry analysis, containment, incident response, and technical documentation.

Nice to have

• Expertise in AI/agentic security, adversarial ML, AI red teaming, and production-grade AI security controls.
• Knowledge of AI and cybersecurity frameworks such as MITRE ATLAS, OWASP LLM Guidance, or NIST Cybersecurity Framework; enterprise-scale cloud and on-premises security experience.

Tools

Python, APIs, data pipelines, Model Context Protocol (MCP), MITRE ATLAS, OWASP LLM Guidance, NIST Cybersecurity Framework

AI focus

Secure sanctioned AI systems and agents across their lifecycle, including guardrails, prompt-injection defenses, data-loss prevention, agentic-threat detection, automated response, and recovery.