Build AI security prototypes and working code as a Technical Security Research Engineer focused on emerging cybersecurity capabilities.

This hands-on position spans research, evaluation, and operationalization of new technologies. You will work with Agentic AI, Application Security, quantum and PQC, blockchain, LLMs, APIs, and security automation. The work moves hypotheses toward proof-of-concepts, product evaluations, and enterprise recommendations.

Key Responsibilities:

- Build agentic AI security harnesses, prototypes, and proof-of-concepts
- Research AI Security, Application Security, quantum/PQC, and blockchain
- Develop agents, LLMs, APIs, tools, automation, and test environments
- Evaluate cybersecurity products through testing and technical due diligence




- Present technical findings to engineering and security leadership

Requirements:

- Master’s degree in cybersecurity, computer science, AI, or related field
- Hands-on development with Python, Java, Node, Go, and C/C++
- Experience with LLMs, agents, orchestration, cloud, containers, and APIs
- Knowledge of application, AI, network, infrastructure, and security architecture
- Robust experiment design, technical writing, and presentation skills

Combine security research, software engineering, and emerging-technology evaluation to create measurable cybersecurity capabilities from new ideas.

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📌 AI Security Research Engineer (Toronto)
🏢 Epsilon Solutions
📍 Toronto