AI Engineer (Agentic Systems)

Location: Remote, Toronto, Ontario, Canada

Company

Join a Toronto-based consulting firm working with startups and Fortune 500 companies to scale engineering and data capabilities.

What you will do

• Build and productize scalable machine learning and AI systems using structured and unstructured data.
• Architect complex agentic systems covering orchestration, tool use, memory, and state management.
• Design, train, evaluate, and improve machine learning models.
• Develop AI evaluation, observability, reliability, and scalable infrastructure capabilities.
• Turn cutting-edge research into working prototypes and solve real-world problems.

Requirements

• Degree in Computer Science or Engineering.
• Strong Python skills and experience building production-grade AI/ML systems.
• Experience architecting complex agentic systems, including orchestration, tool use, memory, and state management.
• Strong theoretical and practical foundations in machine learning, deep learning, statistics, and optimization.
• Experience designing, training, evaluating, and improving machine learning models.
• Experience with AI evaluation, observability, reliability, and scalable infrastructure.
• Strong problem-solving skills, product instincts, and a bias toward action.

Nice to have

• Familiarity with data privacy, permission-aware AI systems, and secure AI architectures.

Culture & Benefits

• Contract role with competitive compensation.
• Opportunity to work on projects aligned with personal interests and skills.
• Accountability-focused environment without micromanagement.