AI Engineer
Guelph, ONUrban Ridge Supplies
4+ YOEGEI needs 4+ years of software engineering experience, including at least 1 year building generative AI applications. Candidates should know LLMs, Azure, a language such as Python or SQL, and big data tools like Spark or Databricks.
Copilot Studio, Azure Functions, Power BI, Databricks, Azure Data Factory, Azure Synapse
AI Engineer
Kitchener, ONUrban Ridge Supplies
4+ YOEGEI needs candidates with 4+ years of software engineering experience, at least one year building Generative AI applications, and strong Python or SQL skills. Experience with Azure AI services and big data tools like Spark and Databricks is expected.
Copilot Studio, Azure Functions, Power BI, Databricks, Spark, TensorFlow
Applied AI Engineer
Toronto, ONUrban Ridge Supplies
Derivative Path needs candidates with hands-on experience building with LLMs, such as RAG, agents or fine-tuning, plus data engineering and Python with AI frameworks. Production AI or MLOps experience and cloud platform knowledge are also wanted, and financial derivatives knowledge is a bonus.
Python, PyTorch, HuggingFace, LangChain
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
Senior Software Engineer- Applied AI
Toronto, ONUrban Ridge Supplies
5+ YOECandidates need 5+ years of software engineering experience, daily use of agentic coding tools, and hands-on production experience with LLMs. Strong Python, API design, AWS deployment and clear written communication are also required.
AWS, FastAPI, TypeScript, Node.js, GraphQL, Amazon Bedrock
Senior software engineer: Applied AI
Toronto, ONUrban Ridge Supplies
5+ YOECandidates need 5+ years of software engineering experience, including production API and data-pipeline design, and hands-on production LLM integration. Strong Python and AWS skills, evaluation literacy, and clear written communication are required.
Python, FastAPI, TypeScript, Node.js, AWS, GraphQL
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
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
Specialist, AI Engineering
Toronto, ONUrban Ridge Supplies
5+ YOECandidates need a computer science, data science or AI degree plus five or more years in a technical role building production systems. Strong Python, machine learning, LLM and RAG skills, cloud experience (Google Cloud preferred), and communication with non-technical stakeholders are required.
Python, Java, SQL, Spark, Google Cloud, Gemini
LLM Engineer
Markham, ONUrban Ridge Supplies
4+ YOECandidates need a bachelor's, master's or PhD in computer science, engineering or a related field, plus 2 to 4 years of hardware, software or systems engineering experience depending on the degree. Qualcomm prefers a master's degree and deep experience with ML frameworks, embedded systems and programming languages such as Python and C++.
PyTorch, Keras, Caffe, Python, C++, Linux
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