Overview

We are looking for a Cyber & AI Engineers to secure real production AI systems, not just write policy or check boxes. This is a hands‑on security engineering role focused on AI/LLM threat modeling, agentic system risks, adversarial testing, and secure implementation.

This role is ideal for candidates who understand AI security deeply, can work directly with developers, and know how to translate security risks into practical, buildable solutions.

What You’ll Be Doing

Secure AI and LLM‑based systems from design through production.
Perform threat modeling for AI systems, with strong emphasis on agentic architectures (tools, memory, autonomy, chaining).
Conduct adversarial and abuse testing against AI and agent workflows.
Work directly with developers to embed secure‑by‑default controls into AI applications.
Design and review secure APIs, integrations, IAM, and secrets management.
Monitor AI systems for abuse, anomalies, and security‑relevant behavior.
Support vulnerability management, incident response, and security automation.
Act as the security translator between AI/ML teams and engineering.

Must‑Have Skills

Hands‑on experience in application or platform security engineering.
Proven experience securing AI or LLM‑based systems.
Strong threat modeling skills (beyond traditional web apps).
Experience with agentic AI security risks and system‑level threat analysis.
Practical knowledge of OWASP concepts (threat modeling, not just Top 10 memorization).
Ability to work directly with developers and explain security tradeoffs clearly.
Comfortable operating in evolving, ambiguous environments.

Nice‑to‑Haves

Experience with adversarial testing, red‑teaming, or abuse testing for AI.
Familiarity with cloud‑native architectures and production monitoring.
Experience building or scaling security automation.