Forward Deployed AI Engineer
Toronto, ONUrban Ridge Supplies
7+ YOECandidates need a degree in a technical field, at least 7 years in software or AI engineering and 3 years building AI or generative AI solutions. They need advanced Python, RAG and agent experience, API integration skills, and the ability to work directly with business stakeholders.
Python, GitHub, Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, Power Platform
AI Platform Engineering Lead
Toronto, ONUrban Ridge Supplies
7+ YOECandidates need a bachelor's degree in a technical field, at least 7 years in software, platform, data or solution architecture, and at least 3 years building generative AI, agentic or machine learning solutions. Required skills include Azure, Databricks, Copilot Studio, Claude APIs, CI/CD with infrastructure as code, advanced Python, and retrieval-augmented generation.
Azure AI Foundry, Databricks, Microsoft Copilot Studio, Anthropic Claude, Microsoft Agent 365, Azure DevOps
AI Solutions Architect (Senior and Principal)
Toronto, ONUrban Ridge Supplies
Candidates need extensive GCP experience, strong Python or TypeScript engineering skills, hands-on experience building LLM and RAG applications, and proven leadership on complex delivery engagements for Senior or Principal level.
Google Cloud Platform, Python, TypeScript
Lead Full-Stack GenAI Engineer
Toronto, ONUrban Ridge Supplies
8+ YOECandidates need at least 8 years of software or AI delivery experience, recent hands-on work with production GenAI or agentic systems, and strong Python, React and TypeScript skills. Azure cloud experience, DevOps practice and a bachelor's degree or equivalent experience are also expected.
Azure OpenAI, Azure AI Search, Microsoft Foundry, Databricks, MLflow, Unity Catalog
Lead, AI/Machine Learning Engineer
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need 3+ years of software engineering experience, including 2+ years building production AI/ML or generative AI solutions. They need hands-on experience with LLMs, RAG, classical ML and deep learning, MLOps, and Azure cloud, plus strong SQL and clear communication with non-technical stakeholders.
Azure AI Foundry, Azure OpenAI, Copilot Studio, MLflow, Kubeflow, Databricks