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Ampleinsightinc

AI Engineer (Agentic Systems)

  • Seen live on Ampleinsightinc's site today
  • Mid level
Pay
Not stated
Location
Toronto, Ontario, Canada
Open for
2 days
First seen
Nov 2, 2026
Apply on Ampleinsightinc's site (opens in a new tab)

Posting record

No flags

Open 2 days

The posting's record, oldest first
  1. Ampleinsightinc's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Company Description

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.

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.

Love solving hard problems at the frontier of AI? Come build what's next with us.

Additional Information

  • 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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