AI Engineer

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