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Guidepoint

AI Engineer

Guidepoint · Toronto, Ontario, Canada

Posted about 2 months ago · $135,000 - $210,000

or apply directly on Guidepoint's site. We never take the application ourselves.

Is this posting real?

This role has been open
53 days
Guidepoint's roles stay open a median of 54 days
Reposted
No
Salary listed
Yes
19% of Guidepoint's roles list one
Ghost-job risk at Guidepoint
high
80 stale, 3 reposted of 123 open
Hiring momentum
168 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-26

Measured from postings appearing on and disappearing from Guidepoint's own greenhouse board since 2026-08-03. Full hiring picture for Guidepoint.

About this role

As an AI Engineer at Guidepoint, you will be a key member of the Toronto AI team, responsible for architecting and building scalable AI-powered systems and applications. Your role will involve managing the entire AI application lifecycle, optimizing retrieval-augmented generation (RAG) pipelines, and integrating intelligent systems with large language models. You will also mentor junior engineers and collaborate with product stakeholders to shape the future of AI product offerings.

Our read on this posting3.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Guidepoint as an employer.

What you need

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of experience in backend software engineering and Generative AI
  • Proven track record of designing, building, and scaling distributed, production-grade systems
  • Deep expertise in Python and a major backend framework (e.g., FastAPI, Flask)
  • Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle including comprehensive testing and CI/CD
  • Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using Docker and Kubernetes
  • 2+ years of experience building applications leveraging large language models from providers like OpenAI, Anthropic, or Google Gemini

What you get

  • Annual base salary range of $135,000 - $210,000
  • Annual discretionary bonus based on performance
  • Paid Time Off
  • Comprehensive benefits plan
  • Company RRSP Match
  • Development opportunities through the LinkedIn Learning platform

Worth weighing

  • The role involves significant leadership responsibilities, including mentoring junior engineers.
  • The position is hybrid, requiring some in-office presence in Toronto.
  • Specific cloud platform experience is preferred, which may limit candidates without Azure experience.

Summarised from Guidepoint's posting. Read the full original.

Listed by Guidepoint on their greenhouse job board, last confirmed open on 2026-09-26. PitchMeAI is not the employer.

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