Senior LLMOps Engineer — Cloud AI Inference + Equity

TEEMA Solutions Group; Toronto; Hybrid; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity

Innovative work culture

Job summary

A rapid-growth technology firm in Toronto is seeking a Staff LLMOps Engineer to lead the design and optimization of large language model infrastructure on the cloud. The ideal candidate has over 6 years of experience in DevOps and expertise in deploying LLMs in cloud environments. Responsibilities include architecting deployment pipelines and ensuring high-performance AI applications. Competitive salary and equity are included in the offer.

Qualifications

• 6+ years in DevOps or cloud platform engineering.
• 2+ years of experience with LLMs deployment.
• Expertise with GPU-accelerated inference.

Responsibilities

• Architect and operationalize LLM deployment pipelines on AWS.
• Build and scale multi-GPU inference infrastructure.
• Optimize inference performance using various frameworks.

Skills

DevOps expertise

ML infrastructure knowledge

Cloud platform experience

Python proficiency

Monitoring tools integration

Tools

AWS

Kubernetes

Terraform

Prometheus

Grafana

Job description

A rapid-growth technology firm in Toronto is seeking a Staff LLMOps Engineer to lead the design and optimization of large language model infrastructure on the cloud. The ideal candidate has over 6 years of experience in DevOps and expertise in deploying LLMs in cloud environments. Responsibilities include architecting deployment pipelines and ensuring high-performance AI applications. Competitive salary and equity are included in the offer.