Lead Agentic AI Engineer
Toronto, ONUrban Ridge Supplies
7+ ansCandidates need 7+ years of software or solution engineering experience and hands-on work with Python, C#, JavaScript or TypeScript. They also need experience running LLM, agentic and RAG applications in production on Azure or AWS.
GitHub, Azure, AWS
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 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
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