AI SECURITY ENGINEER

ROLE

AI SECURITY ENGINEER

TORONTO - HYBRID - FULLTIME

JD

Skills

AI, API, Cryptography, Docker, Threat Vulnerability, Palo Alto, Node / Node JS, Hashicorp Vault, HiPED, IPSEC VPN, Maven, Python

Job details

Security Engineer

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

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