AI Platform Engineer

Quality IT Resourcing · toronto, on, Canada

Location
toronto
Job Type
Full-time
Posted
June 04, 2026

Job Description

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 Delivering solutions in regulated environments (e.g., financial services, healthcare, public sector) Hands-...

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