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...