AI security research engineer (Toronto)

AI security research engineer (Toronto)

04 Nov
|
Epsilon Solutions
|
Toronto

04 Nov

Epsilon Solutions

Toronto

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. Robust 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 security research engineer (Toronto)
🏢 Epsilon Solutions
📍 Toronto

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