AI Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
3+ ansCandidates need at least 3 years of engineering, QA, solutions engineering or similar technical experience, plus strong fundamentals and curiosity about AI and automation. They must take initiative, work without much direction, and be willing to relocate to SF or Toronto.
Hugging Face, Notion, Lightspeed, Documentation, Prioritization
Tech Lead - Forward Deployed Engineering
Toronto, ONUrban Ridge Supplies
Candidates need significant software engineering or implementation experience, including technical leadership on complex customer deployments. They must be strong problem solvers who can debug integrations and ship production solutions. Interest in AI agents and a Toronto location or willingness to relocate are also needed.
Lightspeed, Hugging Face, Notion, Leadership, Debugging, Problem solving
Tech Lead - Forward Deployed Engineering
Toronto, ONUrban Ridge Supplies
Candidates need significant software engineering or implementation experience and have led complex customer-facing deployments. They must be strong problem solvers who can coach others and communicate clearly under pressure.
Lightspeed, Hugging Face, Notion, Leadership, Debugging, Problem solving
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 AI Engineer (GTM)
Toronto, ONUrban Ridge Supplies
Candidates need strong software engineering experience, with Python and SQL particularly relevant. They need hands-on experience with large language models, APIs, retrieval systems and agents, and the ability to operate AI systems in production.
Python, SQL
AI Inference Engineer
Toronto, ONUrban Ridge Supplies
2+ ansCandidates need a Bachelor's, Master's or Ph.D. in Computer Science, Engineering, Mathematics or a related field, plus 2+ years of professional experience in a fast-paced environment. Production experience with Python is strongly preferred, along with familiarity with ML pipelines and strong technical communication.
Python, Docker, ComfyUI, Whisper