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

Queen's Elite Academy
Markham, ON

Postuler rapidement

Détails du poste

Temps partiel | Temps plein | Stage/coop
Il y a 7 heures

Compétences

Informatique
Informatique
CSS
Génie logiciel
Développement à pile complète
Ingénierie
Architecture de système
Git
Pas d'expérience requise
Bases de données
Baccalauréat
JavaScript
GitHub
APIs
Intelligence artificielle
TypeScript
Python
HTML

Description complète du poste

AI Application Development Engineer

(Intern-Friendly / Junior / Senior)

Role Type: AI-Native Product Implementation
Positions Available: 3–4
Salary Range: Minimum $25/hour (or $25+ if applicable)
Products: TrueSourceEdu, TopoGrow, Di-Edu
Keywords: AI coding, Vibe Coding, rapid implementation, validation, full-stack learning

Role Definition & Project Background

Use AI coding tools to turn product requirements into working pages, features, and workflows—and understand, modify, debug, and validate the code you produce across three AI-native products:

TrueSourceEdu: An international education information and decision-support system.
TopoGrow: A family growth-record and long-term insight system.
Di-Edu: A school information and operations system.

What You Will Do

Participate in the full implementation loop from a PM-defined task to a tested, reviewable result:

Implement pages, components, forms, workflows, and interactions from tasks formally assigned by the PM.
Use Codex and other AI coding tools to explore solutions and accelerate implementation.
Translate product notes, user flows, prototypes, and diagrams into working features.
Build and maintain responsive web pages, internal tools, dashboards, and administrative interfaces.
Connect APIs, databases, authentication, file handling, search, AI services, and notifications where required.
Read, modify, debug, and validate AI-generated code instead of accepting it without review.
Turn rough prototypes into features that can be used, tested, documented, and iterated.
Record what changed, how it was tested, what remains uncertain, and what the PM needs to decide.

What We Value Most

You can understand a real product problem and turn it into an operable feature.
You use AI to accelerate thinking and implementation, not to avoid understanding the code.
You can find the cause of a failure rather than repeatedly asking AI for another answer.
You validate features from the user perspective with real interactions and test data.
You can move across technologies and projects while respecting shared architecture and task boundaries.
You communicate blockers, uncertainty, and defects clearly and early.

Requirements for Internship Applicants

Professional work experience is not necessary. We care more about evidence of learning, building, and validation.

Education: Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Information Engineering, or a related field; strong computer science programs are preferred.
Technical Proficiency: Comfortable with at least one programming language or web technology; able to read and modify HTML, CSS, JavaScript, TypeScript, Python, or comparable code.
Core Skills: Able to complete basic API calls, data access, user interactions, and error handling. Basic understanding of Git, APIs, databases, debugging, and software delivery.
AI Tooling: Hands-on experience using AI coding tools or Vibe Coding in coursework, personal projects, internships, hackathons, or take-home work.
Mindset: Willing to work in an early-stage environment where product requirements are continuously refined; able to work within PM-defined task scope and report blockers or ambiguity promptly.

Required Standard & Expected Deliverables

Required Standard: You must be able to understand the code you submit and must not deliver AI-generated output without testing and human verification.

Deliverables:

Working pages and product features.
Interfaces connected to test data or existing services.
User workflows that can be operated and checked.
AI-assisted code that has been manually reviewed and tested.
A concise change log and usage note.
Reproducible issue reports and evidence of fixes.

Preferred Evidence (Bonus)

A public or shareable project, course project, hackathon project, or working prototype.
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.
A clear explanation of how you prompted, inspected, tested, and corrected AI output.

Pay: From $25.00 per hour

Application question(s):

Which tier best fits your background for this role (Intern/Junior/Senior)?

- Intern (currently enrolled or recent graduate in CS/Software Engineering; no formal work experience needed)
- Junior Engineer (1–2 years of practical software/web implementation experience)
- Senior Engineer (3+ years of end-to-end full-stack or system architecture experience)

Please share a link to a public GitHub repository, live web demo, or portfolio project that showcases code you have personally written, debugged, or built using AI tools.

If you don't have a public link, please provide a brief description of a past project detailing your role, the tech stack used, and how you validated or fixed the code.

Education:

Bachelor's Degree (preferred)

Work Location: Hybrid remote in Markham, ON L3R 2W4

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