Job Description
Security Research Engineer - AI Security, Agentic AI & Emerging Cybersecurity
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.
Generic Managerial Skills
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.
Requirements
Java
Security Research Engineer - AI Security, Agentic AI & Emerging Cybersecurity • Toronto, ON, ca
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