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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.

Requirements

• 5+ years of experience as a Backend Software engineer working directly with ML and Gen-AI or similar.
• Experience working with LLM technologies (AWS Bedrock, OpenAI, Anthropic, Hugging Face models, or Llama etc.) in production and proficiency with prompt engineering, model selection, and ML/AI observability.
• Proficiency in Python, vector databases (FAISS, Pinecone, Weaviate), and retrieval-augmented generation (RAG) pipelines.
• Experience with Django, AWS/GCP, and pytest preferred but not required.
• Familiarity with AI model deployment, monitoring, and scaling in production environments.
• Ability to tackle ambiguous AI challenges and develop scalable, efficient AI solutions.
• Comfortable working with engineers, data scientists, and product teams to define and implement AI-driven features.

Responsibilities

• 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.

Other

• Prior startup experience is preferred but not required.
• Authorization to work in the United States or Canada is required.
• Being located in or near one of these cities is strongly preferred—Toronto/Waterloo, New York, and San Francisco.
• You will be responsible for foundational work that will have a significant impact on decarbonizing the commercial real estate industry.
• Competitive salary and equity compensation.