MTS: Forward Deployed AI Engineer
Toronto, ONUrban Ridge Supplies
2+ YOECandidates need at least two years of engineering experience shipping products people use, strong Python and backend skills, and experience building LLM agents with frameworks such as LangGraph or LangChain. Clear communication and interest in regulated industries are required; insurance experience is a plus.
Applied Epic, LangGraph, LangChain, Python, messaging platforms
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need several years of software or technical delivery experience with a production system, a computer science or related degree, and customer-facing technical delivery experience. They must be fluent in Python, JavaScript/TypeScript, Java or Apex and hands-on with LLMs and prompt engineering.
Cursor, Claude, Salesforce Data 360, Snowflake, Databricks, BigQuery
Forward Deployed Engineer (Data, ML & AI)
Toronto, ONUrban Ridge Supplies
10+ YOECandidates need 10+ years building distributed data or ML platforms, strong customer-facing communication, and advanced Python and SQL. Experience with cloud data services, MLOps tools, LLMs and infrastructure as code is also required.
Spark, Databricks, Snowflake, Redshift, dbt, Airflow
Software Engineer III (AI Integration)
Toronto, ONUrban Ridge Supplies
7+ YOECandidates need 7 years of relevant experience and strong Python skills with machine learning libraries. They also need experience with LLMs or deep learning, cloud platforms, and MLOps tools.
Python, PyTorch, TensorFlow, Scikit-learn, Spark, Pandas
AI Agent Engineer, Client Facing
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need a bachelor's degree in a technical field and 3+ years in conversational AI, solution engineering or AI/LLM application delivery. They must have strong prompt design, workflow and API integration skills, communicate well with non-technical clients, and code in Python or JavaScript.
LangChain, LlamaIndex, Twilio, Amazon Connect, n8n, Zapier
Senior AI Forward Deployment Engineer
Toronto, ONUrban Ridge Supplies
10+ YOECandidates need at least 10 years of software or data engineering experience and 2 years building AI or generative AI solutions in production. They need experience with agent frameworks, RAG, prompt engineering, REST APIs and Microsoft 365 integrations, plus strong communication skills.
Microsoft Copilot, Copilot Studio, Harvey AI, Azure AI Foundry, Azure OpenAI, LangChain
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need 3+ years of software or technical delivery experience (6-10 for senior), a computer science or related degree, and prior customer-facing technical delivery work. Hands-on experience with LLMs, prompt engineering and at least one of Python, JavaScript/TypeScript, Java or Apex is also required.
Cursor, Claude, Snowflake, Databricks, Salesforce Data 360
Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
10+ YOECandidates 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+ YOECandidates 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 Technical Consultant -Databricks
Mississauga, ONUrban Ridge Supplies
3+ YOECandidates need a bachelor's degree or college program completion, 3 years on Databricks and big data projects, and 1 year shipping agentic AI to production. They also need 5 years in Python or Java and 2 years of production CI/CD and MLOps experience. English is required.
Databricks, Mosaic AI, Vector Search, Model Serving, MLflow, Unity Catalog
Senior AI Engineer, IT Solutions 1
Toronto, ONUrban Ridge Supplies
11+ YOECandidates 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
Software Engineer (AI Engineer)
Toronto, ONUrban Ridge Supplies
3+ YOECandidates need a STEM university degree and 3+ years of software engineering experience, ideally with Python and microservices. Experience with databases, message brokers, REST APIs, LLM or agentic AI tools, Docker, Kubernetes and GCP is a strong plus.
Docker, Kubernetes, GCP, Helm, Terraform, Ansible
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
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
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
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
Applied AI Engineer
Mississauga, ONUrban Ridge Supplies
3+ YOECandidates need a bachelor's degree or equivalent experience, 3 to 5 years of engineering experience and over a year deploying LLM applications. They must be strong in Python and APIs, have worked with a frontier GenAI platform, and be able to build retrieval and agentic systems.
Claude API, OpenAI Assistants API, Gemini API, Vertex AI Agent Builder, LangChain, LlamaIndex
Software Engineer, Applied AI
Toronto, ONUrban Ridge Supplies
5+ YOECandidates need 5+ years of software engineering or applied AI experience with shipped production systems. Strong Python, hands-on LLM API and agent framework experience, and familiarity with SQL and data pipelines are expected.
Claude, OpenAI, n8n, Zapier, LangChain, LangGraph
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