Security Researcher Engineer

Key Words to search in Resume:

Security Research Architect - Generative AI (GenAI)and Agentic systems

"Must Have Technical Skills:

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.

Roles and 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.

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

• 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.

Technical Leadership

• 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.