Applied AI Engineer
Toronto, ONUrban Ridge Supplies
Derivative Path needs candidates with hands-on experience building with LLMs, such as RAG, agents or fine-tuning, plus data engineering and Python with AI frameworks. Production AI or MLOps experience and cloud platform knowledge are also wanted, and financial derivatives knowledge is a bonus.
Python, PyTorch, HuggingFace, LangChain
Senior AI Engineer
Brampton, ONUrban Ridge Supplies
2+ YOECandidates need 2-3 years of experience and a bachelor's degree in computer science, AI or a related field, plus production Python, LLM integration, RAG knowledge, SQL and cloud/Kubernetes skills. Experience with MCP, agent frameworks or knowledge graphs is a strong asset.
Kubernetes, BigQuery, Snowflake, OpenAI API, Anthropic API, Google API
Staff Software Engineer / Architect - AI, CoCounsel FDE
Toronto, ONUrban Ridge Supplies
8+ YOECandidates need 8+ years of software engineering experience, including production AI or LLM systems. They should have customer-facing experience and strong skills in APIs, cloud platforms and communication.
Software development, ML, Industrial software, Communication skills, Regulatory compliance, Coaching
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
Senior Applied AI Engineer
Toronto, ONUrban Ridge Supplies
10+ YOECandidates 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+ YOECandidates 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
Applied AI Solutions Technical Lead
Vaughan, ONUrban Ridge Supplies
5+ YOECandidates need 5+ years of machine learning, AI, data science or software engineering experience, including taking solutions into production. They need hands-on skills with large language models, RAG, vector databases, Python and secure enterprise integration.
Python, Vector databases, Cloud AI platforms, AI agent frameworks, MCP
Lead Software Engineer, AI & Emerging Tech
Toronto, ONUrban Ridge Supplies
6+ YOECandidates need a bachelor's degree in computer science or a related field and 6+ years of engineering experience, including 1-2 years leading AI or emerging tech initiatives. Strong Python, AWS, Gen AI framework and infrastructure-as-code skills are required.
Amazon Bedrock, LangChain, LlamaIndex, Hugging Face, Terraform, Docker