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