Senior Software Engineer, AI Products

Overview

Cambio is a software platform for world-class real estate decarbonization. We help commercial real estate owners and tenants bring their real estate portfolios to net-zero using a machine learning-driven, end-to-end real estate sustainability platform. Our mission is to take the real estate industry into the climate action era.

We are proud to be the fastest growing startup in our category, with world-class partners and investors including Y Combinator, Google, the U.S. Department of Energy, Stanford University and Fifth Wall. We are seeking team members who are passionate about building transformative products, enthusiastic about problem-solving, and excited to work at the forefront of climate and real estate technology. Join us on our mission to achieve net zero by 2050.

As an AI Engineer, you will play a pivotal role in integrating large language models (LLMs) and machine learning (ML) solutions into our platform and internal systems. Your work will directly impact customer experiences, operational efficiency, and product innovation.

• Build & Ship AI Based Features – Design, implement, and optimize AI-driven features for the platform, enhancing customer experience and business impact.
• AI-Powered Automation & Tooling – Develop LLM-based internal automation tools to streamline workflows, reduce manual effort, and improve team productivity.
• Scalable AI Infrastructure – Build and maintain a ML/LLM pipeline, ensuring robust, efficient, and scalable deployments.
• Performance & Cost Optimization – Improve AI model performance, balancing speed, quality, and infrastructure costs.
• Cross-Functional Collaboration – Work with product, engineering, and data teams to define AI/LLM use cases and share best practices.

• 5+ years of experience in software engineering, including system design, distributed systems, API development, and CI/CD.
• 1+ years of experience developing AI-powered products
• Strong proficiency in Python with hands-on expertise in LLMs.
• Problem-Solving Mindset:
  Ability to tackle ambiguous AI challenges and develop scalable, efficient AI solutions.
• Collaboration & Communication:
  Comfortable working with engineers, data scientists, and product teams to define and implement AI-driven features.
• (Bonus) Experience with building and deploying AI agents, AI frameworks such as Lang Chain, RAG (Retrieval-Augmented Generation) pipelines and vector databases.

• Infra: AWS, Fargate, Redis, Postgre
  
  SQL, SQS, CDK, Github, retool
• Backend:
  Django REST framework, Celery
• Frontend:
  Next.js, Tailwind css
• LLM: AWS Bedrock, OpenAI, Claude

• Work Authorization:
  Authorization to work in the United States or Canada is required.
• Location:
  
  This is a hybrid role requiring 2–3 days of in-person collaboration per week.