About the Company:
Company Size: <10
Industry: AI SaaS, Fintech
Stage: Pre-Seed
Funding: ~$3M raised from leading early-stage investors
Tech Stack: Ruby on Rails, React, TypeScript, GraphQL, GCO, and others
Location: Hybrid – Toronto
We’re working with a pre-seed, Toronto-based AI SaaS company backed by top early-stage investors (they’ve raised ~$3M to date). The founding team are repeat operators with deep product and startup experience, and they’re building a platform that turns conversations, emails, and notes into structured workflows — helping advisors eliminate admin and deliver personalization at scale. The product is live with early traction, and they’re now hiring a Fullstack Software Engineer to join their small, fast-moving team.
About the Role – Fullstack Software Engineer (50/50 split)
This is a true fullstack role: you’ll work across both the frontend and backend, owning feature development end-to-end. You’ll collaborate closely with product and design to build responsive, intuitive interfaces — and partner with fellow engineers to scale the backend that powers their AI-native workflows.You’ll have a major voice in how the platform evolves, with the opportunity to help shape the codebase, product experience, and engineering culture from the ground up.
What You’ll Tackle:
Build core product features across both the backend and frontend
Work with React, TypeScript, and GraphQL to develop clean, performant UIs
Contribute to backend infrastructure in Ruby on Rails, powering LLM workflows
Integrate with tools like Zoom, Gmail, and Salesforce
Collaborate with a tight-knit team on fast-paced shipping and iteration
Help define internal standards and influence technical direction
What You'll Bring:
4–6 years of experience building fullstack web apps
Strong experience with React, TypeScript, and GraphQL
Working knowledge of Rails (or interest in getting deep)
Appreciation for clean UI, strong UX instincts, and component architecture
Interest in building AI-native products and shipping early-stage software
Someone collaborative, curious, and excited to move fast in a high-trust environment
Nice to Have: GCP experience, LLM integration work, or prior SaaS product exposure
Why You’ll Want to Join:
Founding team with deep product and startup experience
High ownership: shape both product and codebase from day one
Real-world AI use case, already gaining market traction
Backed by respected early-stage investors
Competitive compensation + equity
