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Security Research Engineer - AI Security, Agentic AI & Emerging Cybersecurity

Toronto, ON
On-site
Posted Sep 24, 2026
1 position

Applications are currently unavailable for this posting.

Employment type: Full-time
Minimum education: Master’s degree
Posting language: English
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

The role involves researching, prototyping, and operationalizing emerging cybersecurity capabilities, specifically focusing on AI security and agentic AI. You will evaluate new cybersecurity products, conduct technical due diligence, and present findings to leadership and stakeholders.

Job details

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.

What you’ll do

Requirements

Candidates must have a Master's degree or PhD in a relevant field and strong hands-on software development skills in languages like Python, Go, or C++. Experience with LLMs, AI agents, and various security domains such as application and network security is essential.