Forward Deployed Developer
Toronto, ONUrban Ridge Supplies
10+ ansCandidates need 10+ years of software engineering experience with a strong backend or platform focus. They must know Go, PostgreSQL, TypeScript, React and Next.js, design REST APIs, and use AI coding assistants daily. Experience with Docker or Podman, CI/CD, cloud deployment and full testing is also required.
Go, Next.js, React, PostgreSQL, Docker, Podman
Forward Deployed Engineer (Data, ML & AI)
Toronto, ONUrban Ridge Supplies
10+ ansCandidates 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
AI Process Forward Deployed Engineer
Toronto, ONUrban Ridge Supplies
Candidates need enterprise production experience, hands-on technical depth across Java and integrations, and practical AI experience used in real production work. Strong communication with technical and business stakeholders and comfort making judgment calls without a playbook are also required.
Camunda, BPMN, Java, React
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
Senior Software Developer, Full Stack, Applied AI Agent Studio
Toronto, ONUrban Ridge Supplies
5+ ansCandidates need at least 5 years of software development experience, 3 years of full stack work across back-end languages such as Java, Python, Golang or C++ and front-end JavaScript or TypeScript, HTML and CSS, plus 3 years testing or launching software and 1 year of software design and architecture. A bachelor's degree or equivalent practical experience is required.
Software development, Programming languages, Full-stack development, Oracle Java, Python, Go
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
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Toronto, ONUrban Ridge Supplies
7+ ansCandidates need a Bachelor's or Master's degree in a related field, 7+ years of software engineering with at least 3 years in AI/ML, and hands-on experience with LLM applications, knowledge graphs, vector search and cloud platforms. Strong CI/CD, observability and stakeholder communication skills are also required.
Neo4j, MongoDB Atlas, Microsoft Copilot Studio, Akka SDK
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
Principal Developer Support Engineer - Builder Experience
Toronto, ONUrban Ridge Supplies
8+ ansCandidates need 8+ years in technical support, developer relations or software development, with expert knowledge of OAuth 2.0, OpenID Connect and SAML and hands-on enterprise SCIM experience. They also need fluency in a statically typed and a dynamically typed language, cloud and container experience, and a degree or equivalent hands-on experience.
Docker, Okta Workforce Identity Cloud, Claude, CodeEx, Kong, MuleSoft
LLM Engineer
Markham, ONUrban Ridge Supplies
4+ ansCandidates need a bachelor's, master's or PhD in computer science, engineering or a related field, plus 2 to 4 years of hardware, software or systems engineering experience depending on the degree. Qualcomm prefers a master's degree and deep experience with ML frameworks, embedded systems and programming languages such as Python and C++.
PyTorch, Keras, Caffe, Python, C++, Linux