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 recent 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
Strong experiment design, technical writing, and presentation skills
Combine security research, software engineering, and emerging-technology evaluation to create measurable cybersecurity capabilities from new ideas.

#J-18808-Ljbffr

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