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Motive

Field operations safety and productivity software

Senior AI Platform Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$137k - CA$165k

About the Job

Requirements

  • At least 5 years of professional software development experience owning production systems, rather than only scripts or notebooks.
  • Experience shipping backend services or APIs and production AI or machine-learning systems, including large language models, retrieval-augmented generation, or serving.
  • Strong Python skills plus a second technology stack.
  • Experience with PyTorch, TensorFlow, or equivalent serving technology.
  • Experience with AWS or Google Cloud Platform, Kubernetes, Terraform, and continuous integration and continuous delivery.
  • Proven experience reducing or governing cloud and AI spending.
  • Ability to communicate technical and cost tradeoffs clearly and take operational responsibility for what is built.

Responsibilities

  • Design, build, and ship production services, application programming interfaces, and, where needed, user-facing interfaces.
  • Own the full software lifecycle, including implementation, testing, code review, continuous integration and delivery, deployment, and maintenance.
  • Write maintainable code in Python and one additional stack: TypeScript/Node.js, Go, or Java.
  • Build and operate production AI systems, including retrieval-augmented generation, evaluation, fine-tuning, serving, and inference optimization.
  • Turn prototypes into reusable platform capabilities with continuous integration and delivery, evaluation, and governance.
  • Architect AWS or Google Cloud Platform environments with Kubernetes, Terraform, and continuous integration and delivery for applications and model pipelines.
  • Own observability and incident response, and partner on SOC 2/SOX and least-privilege identity and access management.
  • Improve visibility and attribution of cloud and AI spending, manage budgets, and reduce costs.
  • Optimize GPUs, inference routing, model selection, and resource sizing; track cost per request or token and idle GPU capacity.
  • Partner with product, engineering, and business stakeholders to deliver working software, higher reliability, and lower cost per unit of AI value.

Desired Qualifications

  • Full-stack development experience with React or Next.js.
  • Experience with vector databases, inference optimization, FinOps tooling, SOX/SOC 2, or Copilot/Cursor.

About the Company

Motive

Field operations safety and productivity software

Motive creates software and tools designed to improve safety, productivity and profitability for businesses that drive the physical economy. Its customers include more than 120,000 companies across industries such as construction, field service, agriculture, trucking and logistics, and delivery. The product line focuses on helping these businesses run more efficiently by coordinating operations and people, with an emphasis on delivering user-friendly solutions that customers love. Motive differentiates itself through its broad industry reach, a strong commitment to customer satisfaction, and a culture that supports employees in doing their best work. The company’s goal is to empower millions of physical economy businesses to operate more safely and efficiently while growing their profitability.

Company size
5,001-10,000
Company stage
Growth Equity (Venture Capital)
Total funding
$1.9B
Headquarters
San Francisco, CA
Founded
2013

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