Cambio

AI Engineer

Waterloo · Waterloo- Kitchener Canada · Toronto Canada

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hirly's read of this role

Seniority: Mid level
Country: CA
Work mode: On-site / unstated
First seen by hirly: 4 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Original posting on Cambio's site ↗

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