Affirm in Canada is seeking a Security Risk Management Specialist to evaluate, build, and refine solutions for third-party risk and security governance across the program. You will automate GRC workflows with Python and agentic coding tools, reducing manual
Hybrid Markham, Ontario, Canada Oshawa, Ontario, Canada Full time JR- Job Description Vacancy Status: Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill) AI Disclosure: As
Software Engineer Location: Canada. Remote. Offices in Denver and Seattle Employment Type: Full-time Experience Level: 0–3 years Compensation: $80,000–$110,000 base salary + equity + benefits About the Role As a Software Engineer , you will write
Senior Application Security Engineer Remote across the US and Canada | Full-time | Salary range: $150,000 to $230,000. There are plenty of security roles where you identify a problem, write a report and hand it to
Title: DV Engineer with AI workflow Location: Markham, ON location people are preferred but remote is fine Duration : 6 months with possible extension and conversion to FTE Pay range: $55/hr to $65/hr on T4 Overview
Title: AI Engineer Location: Remote Contract AI Engineer What were looking for: Python, Java, REST APIs, GraphQL, ReactJS Claude, Copilot, OpenAI, Gemini, Llama Agentic AI and Multi-Agent Systems MCP (Model Context Protocol) Prompt Engineering, RAG, Vector Databases LangChain,
About us: Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an \Engineering Company\ delivering measurable value and key business
Job Title: (AI Architect) Work Location: (Canada, Remote) Work Arrangement: (Remote) Employment Type: (Contract) Salary/Wage Range: CA$(80) - CA$(90) per (hour) Application Deadline: Applications are accepted on an ongoing basis until the position is filled. Day
Responsibilities: Designs, develops, deploys, and maintains AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI, while adhering to development best practices and quality standards. Takes full end-to-end ownership of assigned GenAI systems, including architectural