- Role / Skill: AI security research

- Location: Canada (Toronto)

- Location Option - TORONTO - Day 1 onsite - all 5 days office

- Exp 6 to 9 years

- CI F2F requirement
- Yes

Security Engineer

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 recent 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

📌 AI Technical Security Research Engineer (Toronto)
🏢 Conflux Systems
📍 Toronto