AI Engineer
Kitchener, ONUrban Ridge Supplies
4+ ansGEI needs candidates with 4+ years of software engineering experience, at least one year building Generative AI applications, and strong Python or SQL skills. Experience with Azure AI services and big data tools like Spark and Databricks is expected.
Copilot Studio, Azure Functions, Power BI, Databricks, Spark, TensorFlow
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+ ansCandidates 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+ ansCandidates 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+ ansCandidates 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+ 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
Principal Software Engineer / Architect – AI, CoCounsel FDE
Toronto, ONUrban Ridge Supplies
12+ ansCandidates need 12+ years of software engineering experience, including principal or architect-level leadership, and recent hands-on production coding. Strong experience with production AI/LLM systems, enterprise integration, cloud architecture and customer-facing technical work is required.
APIs
Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
Candidates need experience delivering complex AI systems in production, hands-on LLM system building, and strong Python or Java backend skills. They also need strong client-facing communication with both technical and non-technical stakeholders.
ML, Back-end development, Python, Oracle Java, Problem solving, Work independently
Applied AI Solutions Technical Lead
Vaughan, ONUrban Ridge Supplies
5+ ansCandidates 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+ ansCandidates 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