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