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Job summary

Research, prototype, test, and operationalize emerging cybersecurity capabilities, including agentic AI security tools and proof-of-concepts. Evaluate cybersecurity products and startups through hands-on testing and technical due diligence, then present findings and recommendations to engineering, security leadership, and investment stakeholders.

Job details

Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities. This is a hands-on role for someone who can move from a research hypothesis to working code, proof-of-concept, product evaluation, and enterprise recommendation. Responsibilities Build agentic AI security harnesses, prototypes, and POCs for new cyber capabilities. Research AI Security, Agentic AI, Application Security, quantum/PQC, blockchain, and other emerging technologies. Develop and integrate agents, LLMs, APIs, security tools, automation, and test environments. Evaluate new cybersecurity products and startups through hands-on testing, benchmarking, and technical due diligence. Validate vendor claims and assess security, scalability, integration complexity, and enterprise applicability. Help transition successful research prototypes toward operational use. Present technical findings and recommendations to engineering, security leadership, and investment stakeholders. Qualifications Master s degree in Cybersecurity, Computer Science, AI, Computer Engineering, or related field; PhD welcomed. Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages. Experience with LLMs, AI agents, tool calling, orchestration frameworks, APIs, cloud, containers, and security automation. Strong knowledge of Application Security, AI Security, vulnerability research, threat modeling, Secure development, Network security, infrastructure Security, Security Architecture and other security domains. Demonstrated ability to design experiments, build prototypes, and evaluate emerging technologies. Strong technical writing and presentation skills. Highly Valued Research papers or presentations at recognized cybersecurity, AI, or systems forums. Experience with AI red teaming, autonomous penetration testing, agent security, or AI-native security tooling. Cybersecurity startup, founder, or early-stage product experience. Experience pitching to venture capital, corporate venture teams, accelerators, or investment stakeholders. Patents, open-source security projects, vulnerability research, or other demonstrated technical innovation. Certifications : CISSP, OSCP, CSSLP or equivalent Ideal Candidate The ideal candidate combines the mindset of a security researcher, software engineer, and emerging-technology evaluator and is comfortable turning new ideas into measurable, working cybersecurity capabilities. What are the top 3 skills required for this role? AI Security & Agentic AI Development Experience with LLMs, AI agents, tool calling, orchestration frameworks, APIs, and security automation Ability to build agentic AI security harnesses, prototypes, and proof-of-concepts Knowledge of AI Security and emerging AI-native security technologies Security Research & Emerging Technology Evaluation Research experience in Application Security, AI Security, Quantum/PQC, Blockchain, and other emerging technologies Ability to design experiments, build prototypes, benchmark products, and perform technical due diligence Experience validating vendor claims and assessing enterprise applicability Software Engineering & Security Architecture Strong development skills in Python (most important), along with Java, Node.js, Go, and C/C++ Hands-on experience integrating APIs, cloud platforms, containers, and automation frameworks Deep understanding of Application Security, Threat Modeling, Secure Development, Network Security, Infrastructure Security, and Security Architecture

What you’ll do

Research, prototype, test, and operationalize emerging cybersecurity capabilities, including agentic AI security tools and proof-of-concepts. Evaluate cybersecurity products and startups through hands-on testing and technical due diligence, then present findings and recommendations to engineering, security leadership, and investment stakeholders.

Requirements

A master's degree in cybersecurity, computer science, AI, computer engineering, or a related field is required; a PhD is welcomed. The role calls for strong software development skills, experience with LLMs and AI agents, broad cybersecurity knowledge, and the ability to design experiments, build prototypes, evaluate technologies, and communicate technical findings.

Listed skills

• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI Security
• Agentic AI Development
• Python
• Security Research
• Emerging Technology Evaluation
• Software Development
• Application Security
• Security Architecture
• Threat Modeling
• Vulnerability Research
• LLMs
• API Integration
• Cloud Platforms
• Containers
• Security Automation
• Technical Due Diligence

Job areas

• Technology
• Security & Safety
• Software
• Science & Research
• Engineering