Staff AI Engineer

AI is changing both the scale of cyber threats and how defenders operate. We are hiring a Staff AI Security Engineer to champion AI security as a discipline at Eye Security, independently explore these opportunities, build working prototypes and help turn successful experiments into production capabilities.

What you'll do

• Expand Agentic SOC capabilities by working directly with SecOps analysts to identify high-value investigation, triage and response workflows that can be improved through AI.
• Develop Agentic Workflows at scale, such as agentic systems that help identify relevant vulnerabilities, validate exposure and exploitability, and develop detection logic.
• Translate prototypes into customer-facing capability and tools, exploring with customers and partners the possibility of turning a prototype into a shippable tool.
• Help secure Eye's AI systems by assessing agentic, LLM and RAG systems for realistic risks such as prompt injection, unsafe tool use, data leakage and supply-chain exposure.
• Work closely with the Principals in your team and across the organization to get findings and mitigations into shipped systems.
• Write up technical research for the Eye Research blog and represent Eye Security externally through talks and technical content on AI security.
• Track the threat landscape and stay ahead of emerging attack techniques against LLM and agentic systems.

What you'll need

• Strong hands-on cybersecurity experience in one or more areas such as SOC operations, incident response, threat detection, vulnerability research, offensive security or security engineering.
• Staff-level technical judgment to independently identify valuable research questions and build working prototypes largely independently.
• Demonstrable hands-on interest in AI through professional work, independent research, open-source contributions or substantial personal projects with LLMs, agents, RAG or related systems.
• Working proficiency in English.

Nice to have

• Prior offensive security experience (pentesting, red teaming, vulnerability research) or background in SOC operations, MDR, or incident response.
• Contributions to the AI security community such as CTF write-ups, published jailbreaks or mitigations, or conference talks.
• Experience with managed LLM platforms such as Bedrock.

What they offer

• Real technical ownership over how Eye Security approaches AI security internally and in the market.
• Direct line from research finding to shipped mitigation.
• Collaborate with a team that has hands-on AI expertise and emphasizes cooperation.
• Quarterly get-togethers and an annual company-wide retreat.
• Generous time-off policy including a volunteering day and dedicated wellbeing time off.