Forward Deployed Engineer (OpenAI Platform)
Toronto, ONUrban Ridge Supplies
10+ ansCandidates need 10+ years as a principal data engineer, ML/AI architect or solutions architect, deep experience with OpenAI and Azure OpenAI APIs, and strong executive-level communication. Willingness to travel to customer sites about once a quarter is required.
OpenAI Platform APIs, Azure OpenAI Service, Cursor, PySpark
Forward Deployed AI Engineer
Toronto, ONUrban Ridge Supplies
7+ ansCandidates need a degree in a technical field, at least 7 years in software or AI engineering and 3 years building AI or generative AI solutions. They need advanced Python, RAG and agent experience, API integration skills, and the ability to work directly with business stakeholders.
Python, GitHub, Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, Power Platform
Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
10+ ansCandidates need 10+ years of data or ML engineering experience, strong customer-facing communication, and hands-on skills with Spark, Databricks, Airflow, LLMs, vector stores, Python and SQL. Cloud, containerization and Infrastructure as Code experience and willingness to travel to customer sites are also expected.
Apache Spark, Databricks, AWS Glue, Snowflake, Redshift, dbt
Software Engineer II (AI Integration)
Toronto, ONUrban Ridge Supplies
3+ ansCandidates need 3-5 years of experience, strong Python skills and experience with LLMs, NLP or deep learning. They also need MLOps, cloud deployment and collaboration skills.
Python, PyTorch, TensorFlow, Docker, Kubernetes, MLflow
Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
Candidates need real experience shipping systems that users depended on and handling their failures. They also need strong integration skills, solid Python or TypeScript, working knowledge of Linux, containers and CI/CD, and clear communication with non-technical clients under pressure.
Linux, Python, TypeScript
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
AI Deployment & Solutions Engineer
Toronto, ONUrban Ridge Supplies
Candidates need a bachelor's or master's degree in computer science or a related field, strong programming skills in Python, Java/JavaScript or C++, and experience building backend services and APIs. They also need cloud experience (AWS, Azure or Google Cloud) and hands-on exposure to LLMs, RAG, embeddings and vector search.
Git, AWS, Microsoft Azure, Google Cloud, pgvector, Pinecone
Senior AI Engineer, IT Solutions 1
Toronto, ONUrban Ridge Supplies
11+ ansCandidates need 11 or more years in IT, software engineering or data science, with AI and ML experience and strong Python skills. Cloud AI services, vector databases and clear communication with non-technical leaders are also required.
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel
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
AI Deployment & Solutions Lead
Toronto, ONUrban Ridge Supplies
Candidates need a bachelor's or master's degree in computer science or a related field, strong programming skills in Python, Java/JavaScript or C++, and hands-on cloud experience with AWS, Azure or Google Cloud. Experience building LLM and generative AI applications, including RAG and vector search, is required.
Git, Python, Java, JavaScript, C++, AWS
Senior Engineer, Applied AI
Toronto, ONUrban Ridge Supplies
Candidates need a strong backend and Python foundation, proven experience shipping LLM-powered features to production, and deep knowledge of RAG, LLM evaluation, prompt engineering and agent architectures. They must also work independently in ambiguous, fast-moving environments.
Docker, Git, Langfuse, LangSmith, vLLM
Artificial Intelligence Developer
Toronto, ONUrban Ridge Supplies
3+ ansCandidates need 3+ years of software engineering experience, including AI applications in production. They need strong Python, TypeScript, SQL and Git skills, plus experience with LLMs, RAG, AI agents and cloud platforms.
Docker, Kubernetes, Git, PostgreSQL, Elasticsearch, Azure AI Search
AI Solutions Engineer
Toronto, ONUrban Ridge Supplies
Candidates need strong Python skills and experience shipping large language model applications, plus hands-on retrieval (RAG) work, agent frameworks and enterprise AI platforms. They also need prompt engineering skills and clear technical writing.
Python, LangChain, LlamaIndex, Azure OpenAI, Google Vertex AI, Anthropic API
Forward Deployed Engineer, Agentic Platform
Toronto, ONUrban Ridge Supplies
Candidates need hands-on Python production experience, experience building RAG and agentic applications, deep knowledge of the LLM stack, and skill in building evaluation frameworks and leading technical customer discussions.
Python, vector databases, LLM orchestration frameworks
AI Engineer
Guelph, ONUrban Ridge Supplies
4+ ansGEI needs 4+ years of software engineering experience, including at least 1 year building generative AI applications. Candidates should know LLMs, Azure, a language such as Python or SQL, and big data tools like Spark or Databricks.
Copilot Studio, Azure Functions, Power BI, Databricks, Azure Data Factory, Azure Synapse
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
Senior AI Engineer
Toronto, ONUrban Ridge Supplies
4+ ansCandidates need 4 to 8+ years in data science, machine learning or AI engineering, with production delivery experience. Strong Python skills and hands-on experience building agentic AI systems and working with LLM APIs, RAG and prompt engineering are required.
Python, PyTorch, TensorFlow, Scikit-learn, React, Streamlit
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
Machine Learning Engineer, Lyft Business & Ads
Toronto, ONUrban Ridge Supplies
Candidates need hands-on experience with machine learning in production, and preferably with LLM tools such as prompt engineering, RAG or agent frameworks. Experience with pricing, marketplace or fraud problems, cloud ML services, and independently scoping projects is an asset.
AWS SageMaker, AWS Bedrock, LangChain, LangGraph
AI Solutions Architect (Senior and Principal)
Toronto, ONUrban Ridge Supplies
Candidates need extensive GCP experience, strong Python or TypeScript engineering skills, hands-on experience building LLM and RAG applications, and proven leadership on complex delivery engagements for Senior or Principal level.
Google Cloud Platform, Python, TypeScript
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
AI Engineer
Kitchener, ONUrban Ridge Supplies
Candidates need Python web development experience, ideally with Django, and have shipped AI features. They should have hands-on work with LLMs or generative AI (prompting, fine-tuning or RAG), experience with evaluation frameworks and vector databases, and an understanding of cost, latency and accuracy tradeoffs.
Python, Django, vector database