AI Engineer (Agentic Systems)

Description

The company is a fast-growing consulting firm based in Toronto. Its clients range from startups building new technologies to Fortune 500 companies scaling their engineering and data work.

The team is made up of engineers and data scientists who have worked at Facebook, Uber, Amazon and Google.

The role suits someone who likes tackling real-world problems and works with both structured and unstructured data. You will turn machine learning models into scalable products. Strong critical thinking and problem-solving skills are a must.

Responsibilities

• Choose your own projects based on your interests and skills, with accountability and without micromanagement.

Requirements

• A degree in Computer Science or Engineering.
• Strong Python skills and experience building production-grade AI or ML systems.
• Experience designing complex agentic systems that cover orchestration, tool use, memory and state management.
• Solid theory and hands-on practice in machine learning, deep learning, statistics and optimization, including designing, training, evaluating and improving models.
• Experience with AI evaluation, observability, reliability and scalable infrastructure.
• You can quickly turn cutting-edge research into working prototypes.
• Strong problem-solving skills, product sense and a bias toward action.
• Nice to have: familiarity with data privacy, permission-aware AI systems and secure AI architectures.

Conditions

Competitive compensation.

Benefits

• Freedom to work on projects that match your interests and skills.