This role sits at the intersection of AI engineering and application development. You’ll build customer-facing features from scratch, while also helping us integrate and scale the AI infrastructure that power them. You're deeply fluent in TypeScript and React, robust enough on the backend to own a feature end-to-end, and have meaningful experience building AI applications.

You craft rapid, polished, reliable software and you're drawn to problems that are genuinely unsolved. We’re looking for full stack engineers and those who lean more towards frontend.

You understand applied AI well past the API layer: building systems that stay reliable when the model is unpredictable, writing evals that surface real signal, designing agentic workflows that hold up under production conditions. You’ve shipped RAG, tool calling, memory, or multi‑agent patterns to real users and you know where each one breaks down. Frontend.

In a product where AI does most of the heavy lifting, the interface is where trust is built or broken — and you hold that line. You’ve built design systems from the ground up and have a point of view on motion, interaction, and what makes an AI‑generated surface feel considered rather than random. Production‑grade React, NextJS,



and TypeScript For full stack: applied AI in production like RAG, tool calling, memory, multi‑agent patterns, and the ability to write evals and reason about whether a system is actually improving For frontend: design systems, animation and motion, data‑fetching patterns (TanStack Query, tRPC), and deep care for browser fundamentals and performance Familiarity with our infrastructure and AI tooling (Cloudflare Workers/Durable Objects, Postgres + PGVector, LangSmith, Inngest) is a plus Architectural and interaction decisions that make the next thing faster to build.

We want to see how you think, what you’ve made, and how you work with AI. A Loom video (2‑3 minutes) Tell us who you are, what you’re working on or have recently built, and how AI is a core part of how you work. A link, a side project, a campaign.

Remote is fine - you can expect travel to Vancouver once per quarter (minimum) to work in‑office with the team.

Compensation is $180,000–$225,000 CAD base plus equity, for Vancouver‑based candidates. Actual salary takes experience, location, and other factors into account. #

📌 Ai Engineer Remote Vancouver
🏢 Durable
📍 Vancouver