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
remoteroles summary, based on the employer's posting.
What you'll do
- Design agentic systems that coordinate tools, memory and state to deliver complex AI workflows
- Build production-ready AI and machine learning systems, then improve their models through training and evaluation
- Assess AI systems for quality, observability and reliability, and support them with scalable infrastructure
- Turn new research into working prototypes and productize machine learning models for real-world use
What you bring
- A degree in computer science or engineering
- Strong Python ability and experience delivering AI or machine learning systems for production
- Hands-on experience designing complex agent systems, including orchestration, tool use, memory and state handling
- Solid theory and practice across machine learning, deep learning, statistics and optimization
Who this fits
This Toronto-based remote contractor role suits a mid-level AI engineer who enjoys solving difficult problems and moving research into practical prototypes. The work emphasizes individual technical execution, product judgment and taking initiative.
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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