Location
toronto, on, Canada
Posted
June 01, 2026
Job Description
Location:
Downtown Toronto Hybrid:
4 days in office
Ready to build what powers the next generation of AI?
We’re looking for a
Staff LLMOps Engineer
to lead the design, deployment, and optimization of
large language model (LLM)
infrastructure on the cloud. You’ll be the driving force behind taking trained models from lab to production—scaling efficiently across multi-GPU clusters and pushing the boundaries of
inference performance
for enterprise-grade AI applications.
If you thrive at the intersection of
AI, cloud engineering, and systems optimization , this is your chance to shape the future of large-scale model serving in a high-impact environment.
What You’ll Do Architect and operationalize
LLM deployment pipelines
on AWS and Kubernetes/EKS.
Build and scale
multi-GPU inference infrastructure
for low latency, high availabilit...
Downtown Toronto Hybrid:
4 days in office
Ready to build what powers the next generation of AI?
We’re looking for a
Staff LLMOps Engineer
to lead the design, deployment, and optimization of
large language model (LLM)
infrastructure on the cloud. You’ll be the driving force behind taking trained models from lab to production—scaling efficiently across multi-GPU clusters and pushing the boundaries of
inference performance
for enterprise-grade AI applications.
If you thrive at the intersection of
AI, cloud engineering, and systems optimization , this is your chance to shape the future of large-scale model serving in a high-impact environment.
What You’ll Do Architect and operationalize
LLM deployment pipelines
on AWS and Kubernetes/EKS.
Build and scale
multi-GPU inference infrastructure
for low latency, high availabilit...