AI Engineer
About the role
Cambio is seeking an AI Engineer to build AI-powered features, improve model quality, and collaborate with the team in a hybrid, multi-city setting.
Responsibilities
- 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
Qualifications
- 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
Skills
Benefits
- 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

About Cambio
Real estate capital planning and compliance made simple
Cambio is the AI-powered commercial real estate operations platform, built by real estate investors for real estate investors. Cambio automatically collects building data via LLMs to empower mission critical workflows like capital planning and compliance. For instance, Cambio's AI models ingest building data (age, asset class, size, location, etc.) to generate retrofit recommendations and predict ROI. We're working with the largest commercial real estate private equity firms globally like Beacon Capital Partners and Madison International Realty, with a 100% RFP win rate. Our founding team collectively has two decades of commercial real estate experience across KKR, Oxford Properties Group, JPMorgan and Goldman Sachs. We are building the solution we wished we had while working at these funds.
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