AI Application Development Engineer (Intern-Friendly/Junior/Senior)

Vibehackers

Markham

On-site

CAD 28,000 - 40,000

Part time

14 days+

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Job summary

Vibehackers is hiring an AI Application Development Engineer intern-friendly role to build features and workflows for three AI-native products: TrueSourceEdu, TopoGrow, and Di-Edu. You’ll convert PM-defined tasks into tested, reviewable results, implementing full-stack components, forms, and integrations across web pages and dashboards.

You will leverage AI coding tools to accelerate solutions, validate code, and ensure robust, reproducible changes.

Qualifications

  • 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 AI 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.

Responsibilities

  • Implement pages, components, forms, workflows, and interactions from PM-assigned tasks.
  • Use 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.

Skills

AI coding tools
Git
APIs
Debugging

Education

Pursuing degree in CS/Software Eng

Tools

Codex
Copilot
Cursor
Claude Code
Trae

Job description

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

About the Role

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.

Job Description
Role

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: TrueSourceEdu, TopoGrow, and Di-Edu. Participate in the full implementation loop from PM-defined tasks to tested, reviewable results.

Key Responsibilities
  • 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.
Requirements
  • 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.
Preferred / Bonus
  • 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.
Compensation & Location
  • Pay: From $25.00 per hour (minimum $25/hour stated in posting).
  • Work location: Hybrid remote in Markham, ON (postal code L3R 2W4).
Application Questions (summary)
  • Which tier best fits your background (Intern / Junior / Senior)?
  • Provide a public GitHub 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.
Skills
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