AI Engineer
Kitchener, ONUrban Ridge Supplies
4+ ansGEI 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
Senior Software Engineer- Applied AI
Toronto, ONUrban Ridge Supplies
5+ ansCandidates 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+ ansCandidates 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+ 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
Senior Applied AI Engineer
Toronto, ONUrban Ridge Supplies
10+ ansCandidates 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
Senior Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
8+ ansUrban Ridge Supplies needs candidates with 8+ years in software, data, platform or AI engineering, including 3+ years building LLM applications and 5+ years with Kubernetes in production. Strong cloud, data engineering and programming skills, plus clear customer-facing communication, are required.
Kubernetes, Spark, Airflow, Databricks, Snowflake, AWS
Applied AI Engineer
Mississauga, ONUrban Ridge Supplies
3+ ansCandidates 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