AI Engineer building production-grade agentic AI systems for a Toronto consulting firm. Architecting ML models, evaluation infrastructure, and research prototypes for startup and Fortune 500 clients.
Responsibilities
Solve real-world problems using structured and/or unstructured data
Productize scalable machine learning models
Architect complex agentic AI systems with orchestration, tool use, memory, and state management
Design, train, evaluate, and improve machine learning models
Build production-grade AI/ML systems
Work with AI evaluation, observability, reliability, and scalable infrastructure
Turn cutting-edge research into working prototypes
Work on client projects for startups and Fortune 500 companies
Requirements
Degree in Computer Science or Engineering
Strong Python skills
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 ML models
Experience with AI evaluation, observability, reliability, and scalable infrastructure
Ability to quickly turn cutting-edge research into working prototypes
Strong problem-solving skills, product instincts, and a bias toward action
Familiarity with data privacy, permission-aware AI systems, and secure AI architectures (bonus)
Benefits
Competitive compensation
Work on projects based on your interests and skills
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