Development of an AI-Powered agentic commerce platform for business intelligence, operational automation, and inclusive entrepreneurship - ON-1215

Project type: Innovation
Desired discipline(s): Computer science, Mathematical Sciences, Finance, Mathematics
Company: INBOX PAY INC D.B.A TRANSIT PAY
Project Length: 4 to 6 months
Preferred start date: As soon as possible.
Language requirement: English
Location(s): ON, Canada
No. of positions: 1
Desired education level: Undergraduate/BachelorMaster'sPhDPostdoctoral fellowRecent graduate
Open to applicants registered at an institution outside of Canada: No

About the company: 

Transit Pay is a Canadian technology company building the next generation of commerce infrastructure through artificial intelligence, agentic commerce, and mobile-first point-of-sale technology. Our mission is to empower businesses of all sizes with intelligent tools that reduce administrative burden, improve productivity, and enable entrepreneurs to focus on growth rather than operations.

Describe the project.: 

Transit Pay is developing an AI-powered agentic commerce platform that enables businesses to automate financial analysis, inventory management, operational planning, and customer transactions through intelligent AI agents. The project aims to improve productivity, reduce administrative burden, support inclusive entrepreneurship, and enhance the competitiveness of Canadian businesses by providing enterprise-grade business intelligence and automation through a next-generation commerce platform.

Required expertise/skills: 

Core Technical Skills:
● Strong programming experience in languages such as Python, Node.js, or Go.
● Practical understanding of RESTful API consumption, webhook architectures, and financial data pipelines (experience with Stripe components, Stripe Connect, or core ledgering architecture is highly valued).
● Familiarity with data serialization formats, database structures (SQL/NoSQL), and secure token handling.
Applied Machine Learning/Automation Skills:
● Experience utilizing machine learning frameworks (e.g., scikit-learn, TensorFlow) to build predictive classification models or text/pattern-matching tools.
● Understanding of security-first design principles, including encryption standards and data protection protocols.
Assets: Excellent problem-solving skills, experience working in fast-paced startup environments, and a passion for turning complex transactional datasets into intuitive user solutions.