Senior Engineer, Applied AI
Toronto, ONUrban Ridge Supplies
Candidates need a strong backend and Python foundation, proven experience shipping LLM-powered features to production, and deep knowledge of RAG, LLM evaluation, prompt engineering and agent architectures. They must also work independently in ambiguous, fast-moving environments.
Docker, Git, Langfuse, LangSmith, vLLM
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
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