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Study Cadenza Inc.

Technical Lead

Toronto, ON, Canada

Pay: $22 an hour on a 4 month term, with an extension possible at the end.
Job type: Internship
Apply by: Oct 28, 2026
Working hours: 15 to 20 hours a week
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

Technical Lead (part-time)

Cadenza · Toronto · 15 to 20 hours a week · $22 an hour (CAD) · 4 month term

About Cadenza

Cadenza turns a student's Canvas courses into a week by week study plan. It reads every syllabus, reading and deadline. Then it builds each week as Learn, Practice and Checkpoint, ending in one honest readiness score. It is live with U of T students, and Cadenza is a venture member of InnovED at OISE, U of T's edtech accelerator. (studycadenza.com)

The role

You will be Cadenza's first technical hire. You will own how the system works, from the Canvas import to the AI that writes and grades each week. You work directly with the founder. The hours fit around your classes and exams, and we prefer U of T students.

What you will own

The AI pipeline. Turning a professor's own files into study material, grading written answers, and keeping quality high and cost per course low.
The data layer. Postgres schema, row level security, migrations and the Canvas import.
Reliability. Evals, tests and monitoring, so we catch a wrong answer before a student does.
Privacy and security. Read-only Canvas access, what reaches a model, and what gets deleted.
Technical decisions and code review. Later, helping hire the next engineers.

Who we want

You have shipped software that real people use. You can show it.
You are very good with AI in production: prompts, structured outputs, retrieval, evals, cost and latency.
You think in systems. You find the real root cause and fix it once.
You are strong in TypeScript and SQL, and at home in Postgres.
You care how students learn, and you have opinions about studying and feedback.
You write clearly, and you say "I don't know yet" when that is true.
You own your work without being chased.

Nice to have

Next.js App Router, Supabase or Vercel.
Canvas or other LMS APIs, or past edtech work.
You use AI coding agents every day and review their output hard. We build this way.
Time as a TA, tutor or peer mentor.

Stack

Next.js and TypeScript, Supabase (Postgres, auth, storage), OpenAI, Vercel and the Canvas API.

Pay and equity

$22 an hour on a 4 month term, with an extension possible at the end. Equity is possible for the right person.

How to apply

Apply here, and email wesley@studycadenza.com with the subject "Technical Lead". Send three things:

A link to something you built.
A few lines on an AI system you shipped, and one thing that went wrong with it.
Your weekly availability this term.

No cover letter. Accommodations are available on request at every stage of hiring.

Apply About employer

More about this job

Responsibilities

Own Cadenza’s technical systems, including the AI pipeline for generating and grading study materials, the PostgreSQL data layer, and Canvas imports. Improve reliability, privacy, and security through evaluations, testing, monitoring, technical decisions, and code review, with potential involvement in future hiring.

Requirements

Candidates should have shipped software used by real people and have strong production AI experience, including prompts, structured outputs, retrieval, evaluations, cost, and latency. They should be strong in TypeScript and SQL, comfortable with PostgreSQL, able to diagnose system-level problems, communicate clearly, and take ownership; University of Toronto students are preferred.

Skills

Artificial Intelligence
TypeScript
SQL
PostgreSQL
Prompt Engineering
Structured Outputs
Retrieval
AI Evaluation
Cost Optimization
Latency Optimization
Database Schema Design
Row-Level Security
Data Migrations
Canvas API
Testing
Monitoring

Visa sponsorship

Not detected in the job text

Hiring contact email

wesley@studycadenza.com

Keywords

Artificial Intelligence
TypeScript
SQL
PostgreSQL
Next.js
Supabase
OpenAI
Vercel
Canvas API
Learning Management System
AI Pipeline
Prompt Engineering
Structured Outputs
Retrieval
Evaluations
Cost Optimization
Latency Optimization
Database Schema
Row-Level Security
Data Migrations
Canvas Import
Reliability
Testing
Monitoring
Privacy
Security
Code Review
EdTech
Education Technology
AI Coding Agents

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