Forward Deployed Engineer (OpenAI Platform)
Toronto, ONUrban Ridge Supplies
10+ YOECandidates need 10+ years as a principal data engineer, ML/AI architect or solutions architect, deep experience with OpenAI and Azure OpenAI APIs, and strong executive-level communication. Willingness to travel to customer sites about once a quarter is required.
OpenAI Platform APIs, Azure OpenAI Service, Cursor, PySpark
Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
5+ YOECandidates need a bachelor's degree in a related field and 5+ years in site reliability or DevOps engineering. They must have hands-on Kubernetes, Terraform, and Helm experience, plus proficiency in at least two scripting or programming languages.
Kubernetes, Terraform, Helm, EKS, AKS, GKE
AI Solutions Architect (Senior and Principal)
Toronto, ONUrban Ridge Supplies
Candidates need extensive GCP experience, strong Python or TypeScript engineering skills, hands-on experience building LLM and RAG applications, and proven leadership on complex delivery engagements for Senior or Principal level.
Google Cloud Platform, Python, TypeScript
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
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