Staff AI Engineer

• Champion AI security as a discipline at Eye Security


• Independently explore AI and agentic-system opportunities


• Build working prototypes and turn successful experiments into production capabilities


• Expand Agentic SOC capabilities by identifying and improving investigation, triage, and response workflows


• Prototype agents and evaluate them against real operational cases


• Measure effects on analyst quality, speed, and workload


• Research and prototype agentic systems for vulnerability identification, exposure and exploitability validation, detection logic development, and prioritization across customer environments


• Explore turning prototypes into customer-facing tools with customers and partners


• Assess agentic, LLM, and RAG systems for prompt injection, unsafe tool use, data leakage, and supply-chain exposure


• Translate security findings into practical engineering controls


• Collaborate with Principals, internal teams, customers, partners, engineers, and security specialists


• Track emerging attack techniques and OWASP, NIST, and ENISA guidance


• Write technical research for the Eye Research blog and represent Eye Security through talks and technical content


• Execute a 100-day plan


• Develop an Agentic SOC prototype and/or AI-driven CVE hunting capability


• Complete a security assessment of at least one production AI system and help implement resulting controls


• Establish a working definition of an AI security review at Eye Security


• Publish research or tooling when it creates meaningful value

Requirements

• 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 and ability to independently identify valuable research questions


• Ability to build working prototypes largely independently


• Demonstrable hands-on experience or interest in LLMs, agents, RAG, or related systems through professional work, independent research, open-source contributions, or substantial personal projects


• Working proficiency in English


• Dutch or German is a plus, not a requirement


• Prior offensive security experience, SOC operations, MDR, or incident response is a bonus


• Contributions to the AI security community are a bonus


• Experience with managed LLM platforms such as Bedrock is a bonus

Core Competencies

Demonstrates strong hands-on cybersecurity expertise, particularly in SOC operations, incident response, and vulnerability research, while effectively building prototypes and translating security findings into practical engineering controls. Proficient in evaluating AI security systems and collaborating with diverse teams to enhance security measures.

Highest-signal resume keywords

• Cybersecurity Experience


• Prototype Development


• LLM and Agentic Systems


• Incident Response


• Vulnerability Research

Hard Skills

• SOC Operations


• Incident Response


• Threat Detection


• Vulnerability Research


• Offensive Security


• Security Engineering


• Prototype Development


• AI Security Assessment


• Detection Logic Development


• CVE Hunting

Soft Skills

• Technical Judgment


• Collaboration


• Research Skills


• Communication

Industry Keywords

• OWASP


• NIST


• ENISA


• AI Security


• Emerging Attack Techniques

Tools & Technologies

• Managed LLM Platforms


• Bedrock


• Agentic Systems


• RAG Systems