Responsibilities 

• Design and build software prototypes for selected use cases, focusing on functional, working solutions. 

• Write, test, and iterate on code using modern development practices, frameworks, and AI-enabled development tools. 

• Contribute to PoC architecture and technical design, including APIs, data flows, and system interactions. 

• Implement integrations, automation, or data-driven features aligned with client, partner, and operational needs. 

• Rapidly prototype and iterate, learning to scope problems, ship early versions, gather feedback, and improve. 

• Assist in defining experiment goals and success criteria, focusing on what the code needs to demonstrate. 

• Measure and evaluate PoC outcomes using metrics, logs, and qualitative feedback. 

• Document technical decisions, learnings, and tradeoffs to support future iterations or handoff. 

• Collaborate with Product, Engineering, Operations, and Data teams to align prototypes with real-world constraints. 

• Experiment hands-on with AI technologies (LLMs, RAG, agentic systems) to accelerate development and enable new capabilities. 

• Share technical learnings and demos with the team to foster a culture of experimentation and a builder mindset. 

• The role involves daily (or regular) communication with pan-Canadian stakeholders. 

Qualifications 

• Currently pursuing a degree in Computer Science, Engineering, or a closely related technical field. 

• Hands-on programming experience through coursework, personal projects, internships, or hackathons. 

• Familiarity with web development, APIs, databases, or cloud-based services. 

• Exposure to AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) or applied machine learning is a plus. 

• Curious, proactive, and eager to experiment. 

• Strong collaboration and communication skills. 

• Able to work effectively in environments with uncertainty and evolving requirements. 

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