Production Reliability Engineer, AI Platform
Toronto, ONEquinix Canada Ltd.
1+ YOECandidates need 1 to 4 years in site reliability, DevOps, platform or software engineering on production systems, plus Python or Go, Kubernetes, a major cloud platform, and CI/CD with infrastructure as code. Familiarity with LLM applications and willingness to join an on-call rotation are also required.
Kubernetes, Terraform, Prometheus, Grafana, OpenTelemetry, PagerDuty
Senior AI Engineer. Innovation and R&D
Toronto, ONEquinix Canada Ltd.
5+ YOECandidates need 5 to 8 years in machine learning or software engineering, including 3+ years of LLM or deep-learning work, and a record of taking AI ideas to production. Hands-on experience with fine-tuning, distillation, quantization or agent systems, plus Python, PyTorch and Hugging Face, is required.
PyTorch, Hugging Face, vLLM, SGLang
AI Engineer, Trust & Evaluation
Toronto, ONEquinix Canada Ltd.
1+ YOECandidates need 1 to 4 years of AI/ML or software engineering experience, strong Python skills and hands-on experience building LLM or agent evaluation systems. They also need working knowledge of evaluation statistics, SQL and clear communication.
Python, SQL, Google Cloud, Vertex AI, Kubernetes, OpenTelemetry