Senior AI Platform Developer
MaintainX - Montreal, Toronto, Vancouver, SF (Remote)
Posted Jan 19, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior AI Platform Developer Montreal, Toronto, Vancouver, SF (Remote) MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. We're looking for a Senior AI Platform Developer to build the shared systems that enable teams across MaintainX to ship AI-powered products reliably at scale. You will design and operate internal services that standardize how AI workloads run in production, with clear abstractions, safe defaults, and strong observability. This role is focused on platform leverage- reducing operational and cognitive load for other developers while raising the bar for reliability, performance, and delivery speed across the AI stack. What you'll do: - Build and operate scalable backend services and internal APIs for the AI platform. - Integrate LLMs and AI tool execution into reliable, production-ready workflows. - Own production reliability for AI platform infrastructure through observability, alerting, and incident response. - Improve performance and cost efficiency of AI runtimes through profiling, tuning, and capacity planning. - Contribute to shared infra: CI/CD, observability, deployments About you: - 5+ years of experience in Python backend development + systems design experience. - Experience shipping AI-powered or LLM-integrated backend systems. -
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