# AI Engineer - Company: [Cambio]() - Location: Waterloo · Waterloo- Kitchener Canada · Toronto Canada - Remote: Yes - Team: Engineering - Employment type: Full Time - Posted: August 25, 2026 ## Job description ## About Cambio Cambio is a software platform for real estate decarbonization. We help commercial real estate owners bring their portfolios to net-zero with an AI-driven sustainability, asset, and investment management platform. We're backed by Y Combinator, Google, and Stanford — and we're the fastest-growing startup in our category. ## The role We're looking for an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it. ## What you'll be doing * Build AI features end-to-end, from prototype to production * Design and run evals to measure and improve model/feature quality * Build and maintain data + inference pipelines that power AI features in production * Experiment with new models, prompting, and retrieval approaches to improve accuracy and cost * Support and collaborate with your teammates ## Who you are * An A-player: low ego, curious, and serious about your craft * You are outcome driven * Work isn't in opposition to life for you - it's part of your life because you genuinely enjoy it * You ship through obstacles — roadblocks are part of the problem to solve * You move with urgency and close the week with visible impact * You're relentlessly curious and treat truth-seeking as a discipline * You believe iteration speed is quality - the way to build great things is to build fast and learn faster * You show up for your teammates, in person. You unblock before being asked and never let someone stay stuck * You own your work end-to-end - proactive about visibility, proud of your progress, and you over-communicate until everyone is fully aligned ## What do you bring * Experienced in Python web development (Django is a bonus) * Someone who's shipped AI features and understands the eval challenges that come with them * Hands-on experience with LLMs/generative AI (prompting, fine-tuning, or RAG) * Comfortable with evaluation frameworks and measuring model quality in production * Familiar with vector databases and retrieval-based architectures * Understands the tradeoffs between model cost, latency, and accuracy ## What we offer * Competitive compensation and startup equity * Flexible time off * $1,200 annual learning budget * Catered lunch * Best workstation in beautiful offices in Waterloo, New York, and San Francisco ## Apply [Apply on Cambio]() Canonical job page: