AI Security Research Engineer Toronto, Canada
- Onsite 12+ Months Contract

Job Description
Certifications: CISSP , OSCP , CSSLP or equivalent. Exp 6+ years required . 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 .
- Robust 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 .
- 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.

📌 AI Security Research Engineer (Toronto)
🏢 Centraprise
📍 Toronto