2 days ago
Toronto, CanadaSenior
Responsibilities
- Design, build, ship, test, deploy, and maintain production services, APIs, and user-facing interfaces where needed.
- Build and operate production AI systems involving RAG, evaluation, fine-tuning, serving, and inference optimization.
- Turn AI prototypes into reusable platform capabilities with CI/CD, evaluation, and governance.
- Architect and operate AWS or GCP environments using Kubernetes and Terraform for applications and model pipelines.
- Own observability and incident response while partnering on SOC 2, SOX, and least-privilege IAM requirements.
- Improve visibility, attribution, budgeting, and reduction of cloud and AI spend.
- Optimize GPUs, inference routing, model selection, and capacity while tracking cost per request, token, and GPU idle time.
- Partner with product, engineering, and business stakeholders on software delivery, reliability, and cost tradeoffs.
Requirements
- At least 5 years of professional software development experience owning production systems.
- Experience shipping backend services, APIs, and production AI/ML systems including LLMs, RAG, and serving.
- Strong Python skills plus a second stack such as TypeScript/Node, Go, or Java.
- Experience with PyTorch, TensorFlow, or equivalent model serving technologies.
- Experience with AWS or GCP, Kubernetes, Terraform, and CI/CD for applications and model pipelines.
- Proven experience reducing or governing cloud and AI spend.
- Ability to communicate technical and cost tradeoffs clearly and operate the systems one builds.
- Preferred experience with full-stack development using React or Next.js, vector databases, inference optimization, FinOps tooling, SOX or SOC 2, and Copilot or Cursor.
Benefits
- Equal opportunity workplace that welcomes people with diverse backgrounds, experiences, abilities, and perspectives.
- Some interviews or new-hire training sessions may be held in person at one of the company's global offices.
Tech Stack
Categories
About Motive
Motive builds an automated operations platform that pairs IoT hardware with AI-powered software for fleets and physical operations, covering GPS tracking, ELD compliance, dashcams, safety, maintenance, and spend management. It sells hardware and SaaS subscriptions to transportation, construction, energy, field service, and public-sector customers. Founded in 2013 and headquartered in San Francisco, the privately held company reports serving over 120,000 businesses.