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Queen's Elite Academy

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

Remote (Markham, ON, CA)Remote (region-locked)Seniorvia jobspy_indeed
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**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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