Senior Data/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 a Senior Data/AI Engineer at Guidepoint, you will be a key player in the Toronto AI team, focusing on building and scaling Generative AI systems and advanced analytics capabilities. Your responsibilities will include designing and operating scalable backend services, managing the AI application lifecycle, optimizing retrieval-augmented generation pipelines, and mentoring junior engineers. You will also collaborate with product stakeholders to shape the future of AI product offerings.
- 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 professional experience in backend software engineering and Generative AI
- Proven track record of designing, building, and scaling distributed, production-grade systems
- Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio)
- Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD)
- Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm)
- 2+ years of experience building applications that leverage 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
- Hybrid position may require flexibility in work location
- No specific mention of the company culture or team dynamics beyond diversity and inclusion commitment
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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