AI Application Development Engineer; Intern​/Junior​/Senior

Explicitly requires vibe coding skills and use of AI coding tools (Codex, Copilot, Cursor) for rapid implementation and validation.

Implement features and workflows for AI-native education products using AI coding tools, turning PM-defined tasks into tested, reviewable results. This intern-friendly role focuses on full‑stack implementation, debugging, validation, and integrating APIs/data across three products.

AI Application Development Engineer (Intern-Friendly / Junior / Senior). Use AI coding tools to convert product requirements into working pages, components, forms, workflows, and integrations across three AI-native products:
True Source Edu , Topo Grow, and Di-Edu. Participate in the full implementation loop from PM-defined tasks to tested, reviewable results.

• Implement pages, components, forms, workflows, and interactions from PM-assigned tasks.
• Use Codex and other AI coding tools to explore solutions and accelerate implementation while validating and testing all AI-generated code.
• Translate product notes, user flows, prototypes, and diagrams into working features and responsive web pages.
• Build and maintain internal tools, dashboards, administrative interfaces, and user workflows connected to test data or services.
• Connect APIs, databases, authentication, file handling, search, AI services, and notifications as required.
• Read, modify, debug, and validate AI-generated code; produce reproducible issue reports and evidence of fixes.
• Record changes, testing steps, outstanding uncertainties, and decisions needed from the PM.

• Internship applicants: currently pursuing or recently completed a degree in Computer Science, Software Engineering, Information Engineering, or related field (professional work experience not required).
• Able to complete basic API calls, data access, user interactions, and error handling.
• Basic understanding of Git, APIs, databases, debugging, and software delivery.
• Hands-on experience using AI coding tools or Vibe Coding in coursework, personal projects, internships, hackathons, or take-home work.
• Ability to work in an early-stage environment, follow PM-defined scopes, and report blockers and ambiguity promptly.
• Must verify and test AI-generated output before delivery; do not submit unverified AI output.

• Public or shareable projects, course projects, hackathon projects, or working prototypes.
• Experience with AI agents, RAG, knowledge bases, automation, or AI workflows.
• Exposure to both frontend and backend work, databases, deployment, or data products.
• Use of Codex, Claude Code, Cursor, Trae, Copilot, or comparable tools.
• Clear documentation of prompts, inspections, tests, and corrections applied to AI output.
• Working pages and product features connected to test data or services.
• Operable user workflows with test evidence.
• AI-assisted code that has been manually reviewed and tested.
• Concise change log and usage note.
• Reproducible issue reports and evidence of fixes.

• Pay:
  From $25.00 per hour (minimum $25/hour stated in posting).
• Work location:
  
  Hybrid remote in Markham, ON (postal code L3R 2W4).

• Which tier best fits your background (Intern / Junior / Senior)?
• Provide a public Git Hub repo, live demo, or project showcasing code you personally wrote, debugged, or built using AI tools; otherwise provide a project description with tech stack and validation details.