Senior AI Forward Deployment Engineer
Toronto, ONUrban Ridge Supplies
10+ YOECandidates need at least 10 years of software or data engineering experience and 2 years building AI or generative AI solutions in production. They need experience with agent frameworks, RAG, prompt engineering, REST APIs and Microsoft 365 integrations, plus strong communication skills.
Microsoft Copilot, Copilot Studio, Harvey AI, Azure AI Foundry, Azure OpenAI, LangChain
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Toronto, ONUrban Ridge Supplies
7+ YOECandidates need a Bachelor's or Master's degree in a related field, 7+ years of software engineering with at least 3 years in AI/ML, and hands-on experience with LLM applications, knowledge graphs, vector search and cloud platforms. Strong CI/CD, observability and stakeholder communication skills are also required.
Neo4j, MongoDB Atlas, Microsoft Copilot Studio, Akka SDK
Agent Deployment Engineer
Toronto, ONUrban Ridge Supplies
5+ YOECandidates need 5+ years in a technical customer-facing role, strong coding and API skills, and experience delivering production customer solutions. Clear communication with senior stakeholders and comfort in fast-moving environments are also required.
Engineering principles, Root cause analysis, Documentation, Provide technical expertise, Workflow, Customer relationship management
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
Middle/Senior Forward Deployed Engineer (Python, AI)
Toronto, ONUrban Ridge Supplies
Candidates need advanced Python and SQL skills, plus hands-on experience running LLM-based or agentic systems in production. Client-facing delivery experience and the ability to explain technical work to executives and engineers are also required.
Docker, Kubernetes, OpenAI Agents SDK, Claude SDK, Model Context Protocol servers
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
Applied AI Engineer
Mississauga, ONUrban Ridge Supplies
3+ YOECandidates need a bachelor's degree or equivalent experience, 3 to 5 years of engineering experience and over a year deploying LLM applications. They must be strong in Python and APIs, have worked with a frontier GenAI platform, and be able to build retrieval and agentic systems.
Claude API, OpenAI Assistants API, Gemini API, Vertex AI Agent Builder, LangChain, LlamaIndex
Applied AI Solutions Technical Lead
Vaughan, ONUrban Ridge Supplies
5+ YOECandidates 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