AI Engineer

Department: Engineering

Location: Waterloo, Waterloo- Kitchener Canada, Toronto Canada

Employment Type: FullTime

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