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
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/ML Engineer
Toronto, ONUrban Ridge Supplies
6+ YOECandidates need 6+ years in machine learning, data or software engineering, including 3+ years building AWS data pipelines. Strong Python, production AI deployment experience, and hands-on work with generative AI and knowledge graphs are required; a Bachelor's degree is required and a Master's is preferred.
AWS SageMaker, AWS ECS, AWS Lambda, AWS S3, AWS EventBridge, AWS Step Functions
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
FDE Senior Engineer, AI & Capital Markets
Mississauga, ONUrban Ridge Supplies
6+ YOECandidates need six or more years in capital-markets technology, hands-on LLM system delivery, and depth in at least two market areas. Python and SQL are essential, and experience with time-series data engineering at institutional volume is required.
Python, SQL, q, kdb+, KDB.AI, FAISS
AI Infra Engineer
Toronto, ONUrban Ridge Supplies
Candidates need fluent Python, REST and GraphQL integration experience, strong SQL schema design and full-stack shipping experience. Direct LLM API work, vector databases and RAG, and experience fusing multiple external data sources are also required.
Python, SQL, Next.js, GraphQL, Dune Analytics, Make