Found Description
Job Title: AI Platform Engineer
Job type: Contract Duration: 6 months (extension possibilities) Location: Toronto (hybrid 2-3 days/week) 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 workplace 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 soluti...
Job type: Contract Duration: 6 months (extension possibilities) Location: Toronto (hybrid 2-3 days/week) 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 workplace 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 soluti...
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