* Due to operational requirements, candidates must be located in Ontario, Canada

Join the team behind an AI-powered teaching assistant delivering course-specific, instructor-tuned, and interactive learning experiences for undergraduate classes. 

We are looking for a Technical Lead (Full-Stack / AI Systems) to own the system architecture and technical direction of our product, while working closely with the founding team to shape the product.

Key Responsibilities

• Own the technical architecture and platform end-to-end, across student and instructor
  experiences
• Define and drive the product roadmap, working closely with founders, designers, and
  advisors
• Design and implement full-stack features, from UX to backend systems and data
  pipelines
• Architect AI-powered capabilities, including LLM workflows, RAG pipelines, and
  evaluation loops
• Debug and optimize across the stack, including application code, infrastructure, and
  system performance
• Lead engineering practices, including code reviews, system design decisions, and
  technical standards
• Balance trade-offs between learning outcomes, UX quality, system cost, and scalability
• Track product and system metrics, and iterate quickly based on real usage
  

Tech Stack

• Frontend: React, Tailwind CSS
• Backend: Node.js (Fastify), Python (FastAPI microservices)
• Data & Infra: MongoDB, Redis, Docker, Nginx, Qdrant

What We’re Looking For

• 3+ years of experience building and shipping production-grade web applications
• Strong full-stack skills across React + Node.js/TypeScript
• Proven experience building 0 → 1 products, ideally in a startup setting, where you
  owned both product direction and technical execution
• Comfort operating in early-stage environments with high ambiguity and rapid iteration
• Experience working with distributed systems and microservices architectures
• Hands-on experience with:
  - LLM APIs and prompt engineering
  - Retrieval-Augmented Generation (RAG) systems
  - Vector databases (e.g., Qdrant, Pinecone, etc.)
• Ability to debug across layers (application, containers, networking, system-level)
• Proven ability to design and ship end-to-end features
• Strong product intuition and ability to translate user needs into technical solutions
  

Why Join Us

• Product ownership from day one
• Work at the intersection of AI, education, and human learning
• Be part of a pre-seed company within the University of Toronto ecosystem
• Help take a research-driven product from early traction to real-world scale