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AI Platform Engineer

Quality IT Resourcing | toronto, Canada | Posted June 05, 2026

Position Overview

Duration: 6 months (extension possibilities)

Core Requirements

  • Full-stack or systems engineering experience with production-grade applications
  • Practical experience with AI/LLM integration (e.g., APIs, tooling, workflows)
  • Experience designing and implementing deployment architectures in cloud or controlled environments (e.g., VPCs, on-prem)
  • Hands-on experience building or maintaining CI/CD pipelines, release workflows, and environment management
  • Experience codifying and implementing SOPs or automated deployment/operations processes

Past Experience

  • Deploying and operating applications in cloud platforms (Azure, AWS, or GCP)
  • Experience with Infrastructure as Code (Terraform, Bicep, or CloudFormation)
  • Experience with containers and orchestration (Docker, Kubernetes)
  • Building or contributing to observability, monitoring, logging, or incident response tooling

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