Founding Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
5+ YOEUrban Ridge Supplies needs candidates with 5+ years of building production full-stack software and hands-on experience with agentic AI systems. Strong communication with enterprise customers and comfort with undefined problems are essential.
React, TypeScript, Next.js, AWS, Kubernetes, GitLab
Founding Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
5+ YOECandidates need 5+ years building production full-stack software, hands-on experience with agentic AI and LLM applications, and strong customer communication. Comfort with ambiguity and rapid prototyping is essential.
React, TypeScript, Next.js, AWS, Kubernetes, GitLab
Machine Learning Engineer
Toronto, ONUrban Ridge Supplies
3+ YOECandidates 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
Principal Software Engineer
Toronto, ONUrban Ridge Supplies
7+ YOEOwl.co needs a candidate with 7+ years of software experience at Staff or Principal level, deep experience scaling AI/ML or LLM systems in production, and expert Python or TypeScript skills. Experience with cloud platforms, microservices and regulated industries where auditability and bias mitigation matter is also required.
AWS, Azure, Python, TypeScript, Claude Code, Codex
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
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