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Salary
$102k – $256k per year (Estimated)
Location
In office (Waterloo, Toronto)
Employment
Full-Time
Overview
Company
Impact
Profile match
One senior partner who owns your strategy, brand, web, and content — start to finish. Cambio Agency runs marketing for founder-led companies.

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

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