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About the role

  • 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
  • Accountability and not micro-management
  • Remote work option

Job title

Job type

Contract

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Python

Location requirements

RemoteCanada

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