AI Engineer (Agentic Systems)

Ample Insight Inc.; Toronto; Sur place; CAD 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Exciting projects

Résumé du poste

Ample Insight Inc. is seeking a Data Scientist to join a world-class team of engineers and data scientists in Toronto. You will work on real-world problems, building production-grade AI/ML systems and turning cutting-edge research into working prototypes.

The role emphasizes critical thinking, problem-solving, and product instincts, with a focus on scalable, observable ML architectures and data privacy considerations.

Qualifications

• 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, with experience designing, training, evaluating, and improving ML models.
• Experience with AI evaluation, observability, reliability, and scalable infrastructure.

Connaissances

Python

ML Systems

Agentic Systems

ML Design

Data Privacy

Formation

CS or Engineering degree

Description du poste

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologiesto Fortune 500companies looking to scale their engineering and data capabilities.

Job Description

We are looking for Data Scientists who are passionate about solving real world problems. You enjoy working with both structured and/or unstructured data and are motivated to productize scalable machine learning models. Critical thinking and problem-solving skills are essential for this role.

Qualifications

• 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, with 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.

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

Additional Information

• We have competitive compensation.
• Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.