Lead, AI/Machine Learning Engineer
Toronto, ONUrban Ridge Supplies
3+ ansCandidates 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
Applied AI Solutions Technical Lead
Vaughan, ONUrban Ridge Supplies
5+ ansCandidates need 5+ years of machine learning, AI, data science or software engineering experience, including taking solutions into production. They need hands-on skills with large language models, RAG, vector databases, Python and secure enterprise integration.
Python, Vector databases, Cloud AI platforms, AI agent frameworks, MCP
Software Engineer, Applied AI
Toronto, ONUrban Ridge Supplies
5+ ansCandidates need 5+ years of software engineering or applied AI experience with shipped production systems. Strong Python, hands-on LLM API and agent framework experience, and familiarity with SQL and data pipelines are expected.
Claude, OpenAI, n8n, Zapier, LangChain, LangGraph