AI Deployment & Solutions Engineer
Toronto, ONUrban Ridge Supplies
Candidates need a bachelor's or master's degree in computer science or a related field, strong programming skills in Python, Java/JavaScript or C++, and experience building backend services and APIs. They also need cloud experience (AWS, Azure or Google Cloud) and hands-on exposure to LLMs, RAG, embeddings and vector search.
Git, AWS, Microsoft Azure, Google Cloud, pgvector, Pinecone
Forward Deployed Technical Consultant -Databricks
Mississauga, ONUrban Ridge Supplies
3+ YOECandidates need a bachelor's degree or college program completion, 3 years on Databricks and big data projects, and 1 year shipping agentic AI to production. They also need 5 years in Python or Java and 2 years of production CI/CD and MLOps experience. English is required.
Databricks, Mosaic AI, Vector Search, Model Serving, MLflow, Unity Catalog
AI Deployment & Solutions Lead
Toronto, ONUrban Ridge Supplies
Candidates need a bachelor's or master's degree in computer science or a related field, strong programming skills in Python, Java/JavaScript or C++, and hands-on cloud experience with AWS, Azure or Google Cloud. Experience building LLM and generative AI applications, including RAG and vector search, is required.
Git, Python, Java, JavaScript, C++, AWS
Senior AI Engineer
Toronto, ONUrban Ridge Supplies
4+ YOECandidates need 4 to 8+ years in data science, machine learning or AI engineering, with production delivery experience. Strong Python skills and hands-on experience building agentic AI systems and working with LLM APIs, RAG and prompt engineering are required.
Python, PyTorch, TensorFlow, Scikit-learn, React, Streamlit
Machine Learning Engineer, Lyft Business & Ads
Toronto, ONUrban Ridge Supplies
Candidates need hands-on experience with machine learning in production, and preferably with LLM tools such as prompt engineering, RAG or agent frameworks. Experience with pricing, marketplace or fraud problems, cloud ML services, and independently scoping projects is an asset.
AWS SageMaker, AWS Bedrock, LangChain, LangGraph
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
Forward Deployed Engineer, Sovereign AI
Toronto, ONUrban Ridge Supplies
Candidates need strong Python production experience, experience building RAG or agentic AI applications, and comfort working across the full stack. They must enjoy working directly with customers and thrive in fast-changing priorities. Active Top Secret clearance eligibility is required, or willingness to obtain it.
Python
Senior Applied AI Engineer
Toronto, ONUrban Ridge Supplies
10+ YOECandidates need 10+ years in AI/ML engineering, at least 2 years in financial services or a regulated industry, and a track record of production AI deployments. Strong Python, LLM and agent framework skills, plus AWS and Azure experience, are required.
Python, TensorFlow, PyTorch, scikit-learn, Copilot Studio, LangChain
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