AI Platform Engineering Lead
Toronto, ONUrban Ridge Supplies
7+ YOECandidates need a bachelor's degree in a technical field, at least 7 years in software, platform, data or solution architecture, and at least 3 years building generative AI, agentic or machine learning solutions. Required skills include Azure, Databricks, Copilot Studio, Claude APIs, CI/CD with infrastructure as code, advanced Python, and retrieval-augmented generation.
Azure AI Foundry, Databricks, Microsoft Copilot Studio, Anthropic Claude, Microsoft Agent 365, Azure DevOps
Software Engineer (AI Engineer)
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need a STEM university degree and 3+ years of software engineering experience, ideally with Python and microservices. Experience with databases, message brokers, REST APIs, LLM or agentic AI tools, Docker, Kubernetes and GCP is a strong plus.
Docker, Kubernetes, GCP, Helm, Terraform, Ansible
AI Solutions Engineer
Toronto, ONUrban Ridge Supplies
Candidates need strong Python skills and experience shipping large language model applications, plus hands-on retrieval (RAG) work, agent frameworks and enterprise AI platforms. They also need prompt engineering skills and clear technical writing.
Python, LangChain, LlamaIndex, Azure OpenAI, Google Vertex AI, Anthropic API
AI Native Engineer
Toronto, ONUrban Ridge Supplies
Candidates need proven experience redesigning a business process with automation, strong programming skills in TypeScript, Python or similar, and hands-on experience running LLM-based systems in production. Good judgment on when to use agents versus deterministic tools is essential.
Claude Code, MCP, n8n, Temporal, Snowflake, Postgres
Forward Deployment Engineer
Mississauga, ONUrban Ridge Supplies
Candidates need extensive hands-on Java and JVM experience, with Spring ecosystem and enterprise modernization skills. They also need test-driven development, secure coding, CI/CD, containers, Linux and strong client-facing communication.
Java, Spring, Maven, Gradle, npm, Git
AI Product Engineer
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need 3 or more years in a product role, a record of shipped work, strong product judgment, and hands-on experience with LLMs. They also need enough technical skill to build and debug a working application on their own.
Claude, Zendesk, SQL, Python, TypeScript, React
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
Forward Deployed Engineer, Industry Solutions
Toronto, ONUrban Ridge Supplies
5+ YOECandidates 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+ 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
Applied AI Solutions Technical Lead
Vaughan, ONUrban Ridge Supplies
5+ YOECandidates need 5+ years of machine learning, AI, data science or software engineering experience, including taking solutions into production. They need hands-on skills with large language models, RAG, vector databases, Python and secure enterprise integration.
Python, Vector databases, Cloud AI platforms, AI agent frameworks, MCP