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Cambio

Decarbonization software for commercial real estate

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Experience in Python web development; Django experience is a bonus.
  • Experience shipping AI features and understanding the evaluation challenges associated with them.
  • Hands-on experience with large language models or generative artificial intelligence, including prompting, fine-tuning, or retrieval-augmented generation.
  • Experience with evaluation frameworks and measuring model quality in production.
  • Familiarity with vector databases and retrieval-based architectures.
  • Understanding of the tradeoffs between model cost, latency, and accuracy.

Responsibilities

  • Build AI features end-to-end, from prototype to production.
  • Design and run evaluations to measure and improve model and feature quality.
  • Build and maintain data and 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 teammates.

Desired Qualifications

  • Django web development experience.

About the Company

Cambio

Decarbonization software for commercial real estate

Cambio.ai provides a subscription software platform that helps commercial real estate owners, managers, and operators measure, monitor, and reduce their carbon emissions to reach net zero. The platform connects directly to building energy meters to pull real-time data on energy use and emissions, then uses analytics, reporting, and target-tracking tools to guide clients through their climate journey—from establishing a baseline to taking actionable steps toward net-zero goals. Unlike broader energy tools, Cambio.ai focuses on the commercial real estate sector with an end-to-end workflow: utility integrations, carbon analytics, progress dashboards, and climate-target monitoring all within one platform. The company aims to help clients improve energy efficiency, lower operating costs, and achieve net-zero emissions through continuous measurement and data-driven decisions.

Company size
51-200
Company stage
Series A
Total funding
$18.3M
Headquarters
New York City, New York
Founded
2022

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