AI Engineer (Agentic Systems)
At a glance
Mid-level AI Engineering role at Ample Insight Inc. Remote, Canada · contract.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and improve production AI and machine learning systems, turning research ideas into working prototypes
- Design agentic systems that coordinate tools, memory and state across complex workflows
- Develop, train and assess machine learning models, then refine them using evaluation results
- Strengthen AI system reliability and observability while supporting infrastructure that can scale
What you bring
- A computer science or engineering degree, plus strong Python skills
- Experience delivering production AI or machine learning systems and designing complex agent architectures
- Solid grounding in machine learning, deep learning, statistics and optimization, including model development and evaluation
Who this fits
This contractor role suits a mid-level AI engineer who enjoys tackling difficult problems and turning research into practical systems. The role is based in Toronto and listed as remote.
From the employer
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 technologies to Fortune 500 companies looking to scale their engineering and data capabilities.
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.
- 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.
Love solving hard problems at the frontier of AI? Come build what's next with us.
- We have competitive compensation.
- Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
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