AI/ML Engineer
Toronto, ONUrban Ridge Supplies
6+ ansCandidates need 6+ years in machine learning, data or software engineering, including 3+ years building AWS data pipelines. Strong Python, production AI deployment experience, and hands-on work with generative AI and knowledge graphs are required; a Bachelor's degree is required and a Master's is preferred.
AWS SageMaker, AWS ECS, AWS Lambda, AWS S3, AWS EventBridge, AWS Step Functions
Software Engineer (AI Engineer)
Toronto, ONUrban Ridge Supplies
3+ ansCandidates 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
Principal AI Engineer
York, ABUrban Ridge Supplies
7+ ansCandidates need 7+ years of software engineering experience, including 2+ years shipping generative AI or agentic features, and a Bachelor's or Master's degree in a related field. Strong Python and cloud-native skills on GCP are required.
Python, FastAPI, PyTest, C#/.NET Core, Node.js, TypeScript
Forward Deployed Engineer, Industry Solutions
Toronto, ONUrban Ridge Supplies
5+ ansCandidates 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