Machine Learning Engineer
Toronto, ONUrban Ridge Supplies
3+ ansCandidates need 3+ years of production ML or data-heavy system experience, including shipping and owning models after launch. Real ranking or relevance experience, strong Python, and rigorous A/B testing skills are required.
Python, MLflow, Kubernetes, Spark
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
Solutions Engineer
Toronto, ONUrban Ridge Supplies
2+ ansCandidates need 2 to 4 years in solutions engineering, technical consulting, TAM or implementation at a SaaS or AI firm. They should be comfortable with API integrations, SaaS onboarding and AI-powered products.
Salesforce, Zendesk, Intercom, Atlassian, Gong, SQL
AI Product Engineer
Toronto, ONUrban Ridge Supplies
3+ ansCandidates 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
AI Infra Engineer
Toronto, ONUrban Ridge Supplies
Candidates need fluent Python, REST and GraphQL integration experience, strong SQL schema design and full-stack shipping experience. Direct LLM API work, vector databases and RAG, and experience fusing multiple external data sources are also required.
Python, SQL, Next.js, GraphQL, Dune Analytics, Make