Cambio is looking to solve the problem of decarbonizing the real estate industry by developing a machine learning-driven, end-to-end real estate sustainability platform to help commercial real estate owners and tenants bring their portfolios to net-zero.
Requirements
- 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.
- Experience with building and deploying AI agents, AI frameworks such as LangChain, RAG (Retrieval-Augmented Generation) pipelines and vector databases.
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
- Authorization to work in the United States or Canada is required.
- This is a hybrid role requiring 2–3 days of in-person collaboration per week.
- Competitive compensation + meaningful early-stage equity
- Degree requirements not specified, but experience in software engineering is required
- Travel requirements not specified
