Location
toronto
Posted
May 30, 2026
Commute
Local Area
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Job Description
Elevate your engineering skills with a Full-Stack AI Platform Engineer role focusing on AI/LLM integration for production-grade applications. This position, lasting 6 months, offers potential for extension.
As a Full-Stack AI Platform Engineer, you will leverage your experience in systems engineering and practical AI integration to design deployment architectures. Your work will include building CI/CD pipelines and managing environments in cloud or controlled settings. Collaborate on best practices for SOPs and automated deployment processes, ensuring efficiency and reliability.
Key Responsibilities: • Design deployment architectures in cloud or controlled environments • Build and maintain CI/CD pipelines and workflows • Integrate AI/LLMs into production applications and workflows • Implement Infrastructure as Code with Terraform or similar tools • Contribute to observability and monitoring for applications
Requirements: • Experience with full-stack or system...
As a Full-Stack AI Platform Engineer, you will leverage your experience in systems engineering and practical AI integration to design deployment architectures. Your work will include building CI/CD pipelines and managing environments in cloud or controlled settings. Collaborate on best practices for SOPs and automated deployment processes, ensuring efficiency and reliability.
Key Responsibilities: • Design deployment architectures in cloud or controlled environments • Build and maintain CI/CD pipelines and workflows • Integrate AI/LLMs into production applications and workflows • Implement Infrastructure as Code with Terraform or similar tools • Contribute to observability and monitoring for applications
Requirements: • Experience with full-stack or system...