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
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
Specialist, AI Engineering
Toronto, ONUrban Ridge Supplies
5+ ansCandidates 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
Forward Deployed Engineer, Industry Solutions
Toronto, ONUrban Ridge Supplies
5+ ansCandidates need 5+ years of hands-on backend engineering experience and strong MongoDB application skills. They also need working knowledge of at least one relational database and fluency in at least two programming languages.
MongoDB, MongoDB Atlas, Kafka, Kubernetes
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