Senior Applied AI Engineer
Toronto, ONUrban Ridge Supplies
10+ ansCandidates need 10+ years in AI/ML engineering, at least 2 years in financial services or a regulated industry, and a track record of production AI deployments. Strong Python, LLM and agent framework skills, plus AWS and Azure experience, are required.
Python, TensorFlow, PyTorch, scikit-learn, Copilot Studio, LangChain
Specialist, AI Engineering
Toronto, ONUrban Ridge Supplies
5+ ansCandidates need a computer science, data science or AI degree plus five or more years in a technical role building production systems. Strong Python, machine learning, LLM and RAG skills, cloud experience (Google Cloud preferred), and communication with non-technical stakeholders are required.
Python, Java, SQL, Spark, Google Cloud, Gemini
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
Senior Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
8+ ansUrban Ridge Supplies needs candidates with 8+ years in software, data, platform or AI engineering, including 3+ years building LLM applications and 5+ years with Kubernetes in production. Strong cloud, data engineering and programming skills, plus clear customer-facing communication, are required.
Kubernetes, Spark, Airflow, Databricks, Snowflake, AWS