Senior Agentic AI Engineer: Multi-Agent Systems & LLM Ops

TEEMA Solutions Group; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading AI solutions provider in Toronto is looking for a Senior AI Engineer to leverage expertise in agentic AI systems and cloud deployment. The ideal candidate has significant experience in building multi-agent architectures and RAG pipelines on AWS. Key responsibilities include optimizing AI systems for enterprise workflows. Candidates should possess strong programming skills in Python and familiarity with CI/CD, Docker, and Kubernetes. Competitive compensation offered.

Qualifications

• 5–10 years of software development experience in cloud environments; 2+ years hands-on with agentic AI or LLM deployment.
• Experience building and deploying multi-agent AI systems.
• Knowledge of supervisor/sub-agent orchestration patterns.
• Hands-on with RAG pipelines, memory management, and agent evaluation.

Responsibilities

• Build, deploy, and optimize multi-agent AI systems integrating enterprise workflows.
• Implement RAG pipelines, long-term memory, and multi-step reasoning.
• Collaborate with AI researchers and engineers to operationalize models in production.

Skills

Agentic AI Development

Python

AWS

CI/CD pipelines

RAG pipelines

Docker

Kubernetes

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field

Tools

LangChain

LangGraph

LangSmith

Prometheus

Grafana

Datadog

Job description

A leading AI solutions provider in Toronto is looking for a Senior AI Engineer to leverage expertise in agentic AI systems and cloud deployment. The ideal candidate has significant experience in building multi-agent architectures and RAG pipelines on AWS. Key responsibilities include optimizing AI systems for enterprise workflows. Candidates should possess strong programming skills in Python and familiarity with CI/CD, Docker, and Kubernetes. Competitive compensation offered.