Senior Azure AI Engineer: Generative & LLM Solutions

Keste; Canada; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading technology firm in Canada is seeking an experienced Azure AI Engineer specializing in Generative AI to design, develop, and deploy AI solutions within the Azure ecosystem. The ideal candidate will have over 4 years of experience in AI/ML engineering and 2.5 years hands-on with Azure OpenAI. This role involves collaborating with teams to build enterprise-grade AI applications and requires solid expertise in Python and cloud technologies. A firm understanding of Responsible AI principles is essential for success in this dynamic environment.

Qualifications

• 4+ years in AI/ML engineering with production‑grade deployments.
• 2.5+ years hands‑on with Azure OpenAI or similar LLM APIs.
• Expertise in Python, LangChain, Semantic Kernel, PromptFlow, and cloud‑native design.
• Knowledge of LLMOps, prompt tuning, RAG, and Responsible AI.

Responsibilities

• Translate business requirements into full‑stack Azure AI solutions.
• Design multi‑step prompt workflows and intelligent agents.
• Orchestrate prompts and tools using PromptFlow and Azure AI Foundry.
• Deploy solutions using Azure Functions and Container Apps.
• Define metrics for prompt effectiveness and model behavior.

Skills

Python

LangChain

Semantic Kernel

PromptFlow

React.js

Education

Bachelor’s in computer science, Engineering, or related field

Tools

Azure OpenAI

Azure AI Services

Copilot Studio

AI Foundry

Cosmos DB

Docker

Kubernetes

Job description

A leading technology firm in Canada is seeking an experienced Azure AI Engineer specializing in Generative AI to design, develop, and deploy AI solutions within the Azure ecosystem. The ideal candidate will have over 4 years of experience in AI/ML engineering and 2.5 years hands-on with Azure OpenAI. This role involves collaborating with teams to build enterprise-grade AI applications and requires solid expertise in Python and cloud technologies. A firm understanding of Responsible AI principles is essential for success in this dynamic environment.