Senior AI Platform Engineer

Gomotive

Toronto

Hybrid

CAD 120,000 - 180,000

Full time

8 days ago

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Job summary

Motive is hiring a Senior Engineer to ship production software and AI systems on cloud infrastructure that is reliable, secure, and cost-conscious. You will design applications and services, operate inference platforms, and collaborate with product, engineering, and business teams to deliver high-quality software with strong cost controls.

You will own end-to-end development of backend services and AI pipelines, focusing on Python while leveraging a second stack such as React/Next.js,

Qualifications

  • 5+ years of professional software development with production systems ownership.
  • Shipped backend services/APIs and production AI/ML (LLMs, RAG, serving).
  • Strong Python with a second stack (e.g., React/Next.js, TypeScript/Node, Go, or Java).
  • Experience with AWS or GCP, Kubernetes, Terraform, and CI/CD.
  • Proven ability to reduce or govern cloud/AI spend and communicate tradeoffs.

Responsibilities

  • Design, build, and ship production services, APIs, and interfaces.
  • Own the full lifecycle: implementation, tests, CI/CD, deploy, maintenance.
  • Write maintainable Python code and use a second stack.
  • Build and operate production AI systems (RAG, evaluation, fine-tuning, serving).
  • Turn prototypes into reusable platform capabilities with CI/CD, eval, governance.
  • Architect AWS/GCP environments with Kubernetes, Terraform, and CI/CD.
  • Own observability and incident response; align with SOC 2/SOX and least-privilege IAM.
  • Manage cloud and AI spend with visibility, attribution, budgets, and reduction.

Skills

Python
Backend APIs
React/Next.js
PyTorch
TensorFlow
AWS
GCP
Kubernetes
Terraform
CI/CD
Cloud cost governance

Tools

React/Next.js
PyTorch

Job description

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more.


About the Role

Senior engineer who ships production software and AI systems on cloud infrastructure that is reliable, secure, and cost-disciplined. You design applications and services, operate inference platforms and pipelines, and treat unit economics (tokens, GPU-hours, idle capacity) as engineering constraints. You partner with product, engineering, and business stakeholders to deliver working software, higher reliability, and lower cost per unit of AI value.


What You Will Do

Software development



  • Design, build, and ship production services, APIs, and (where needed) user-facing interfaces.

  • Own the full lifecycle: implementation, tests, code review, CI/CD, deploy, and maintenance.

  • Write maintainable code in Python plus one more stack (TypeScript/Node, Go, or Java).


AI engineering



  • Build and operate production AI systems: RAG, evaluation, fine-tuning, serving, and inference optimization.

  • Turn prototypes into reusable platform capabilities with CI/CD, eval, and governance.


Cloud infrastructure



  • Architect AWS/GCP environments with Kubernetes, Terraform, and CI/CD for apps and model pipelines.

  • Own observability and incident response; partner on SOC 2/SOX and least-privilege IAM.


Cost control



  • Treat cloud and AI spend as an engineering problem: visibility, attribution, budgets, and reduction.

  • Optimize GPUs, inference routing, model choice, and right-sizing; track cost per request/token and GPU idle.


What We're Looking For

Required 5+ years of professional software development, owning production systems (not only scripts or notebooks). Shipped backend services/APIs and production AI/ML (LLMs, RAG, serving). Strong Python plus a second stack; PyTorch, TensorFlow, or equivalent serving. AWS or GCP with Kubernetes, Terraform, and CI/CD. Proven work reducing or governing cloud/AI spend. Clear communication of technical and cost tradeoffs; you run what you build.


Preferred Full-stack (React/Next.js), vector databases, inference optimization, FinOps tooling, SOX/SOC 2, Copilot/Cursor.


Success Looks Like

Production software and AI with SLOs and real ownership — not demos. Reliability stays high while GPU and cloud waste trends down. Cost per unit of AI value is visible and improving; teams reuse libraries, IaC, and cost guardrails.


Why we care about diversity

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.


Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here . The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. Regarding US-based roles, depending on your role and primary work location, Motive Technologies, Inc. (“Employer”) discloses candidates may be required to execute a non-compete covenant with the Employer. This requirement does not apply to lawyers, interns, or employees working in CA, MN, MT, ND, OK, or where otherwise prohibited by law. Non-compete covenant terms in all other jurisdictions will be subject to the applicable statutory requirements, including but not limited to, procedures, industry related prohibitions, or salary and compensation thresholds. All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.

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