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. 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 current 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, Recent York, and San Francisco

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📌 AI Engineer (Ontario)
🏢 Cambio
📍 Ontario