AI Engineer (Agentic Systems)
Company shown to members 🔒 · Remote · Canada only
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First recorded by Psst: 31 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Experience not stated
- Where you can live
- Canada only
- Skills and tools
- python, machine learning
- Degree or licence
- Mentioned (degree in)
- Job type
- Contract or freelance
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Job details
- Where you can work
- Canada
- Employment type
- Contract
- Advertised pay
- Not stated by the employer
- Experience
- Experience not stated
- Employer publication date
- 31 October 2026
- First recorded by Psst
- 31 October 2026
- Last checked at the source
- 10 November 2026
About the job
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.
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.
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