Senior Software Engineer, AI Products
Quick Summary
About Cambio 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.
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.
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.
Mission-driven: Climate can’t wait. We’re building real solutions for one of the most carbon-intensive industries — real estate.
Hypergrowth: We've tripled our ARR last year and we’re on track to do it again.
AI-forward: We're tripling our investment in AI to supercharge our platform and help customers decarbonize faster.
World-class team: Ex-Google, Bain, Faire, One Medical, OMERS, Goldman Sachs, and more.
High ownership: Join early, ship fast, and help shape the product, team, and culture from the ground up.
Competitive compensation + meaningful early-stage equity
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.
Responsibilities
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Build & Ship AI Based Features – Design, implement, and optimize AI-driven features for the platform, enhancing customer experience and business impact.
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AI-Powered Automation & Tooling – Develop LLM-based internal automation tools to streamline workflows, reduce manual effort, and improve team productivity.
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Scalable AI Infrastructure – Build and maintain a ML/LLM pipeline, ensuring robust, efficient, and scalable deployments.
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Performance & Cost Optimization – Improve AI model performance, balancing speed, quality, and infrastructure costs.
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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 LangChain, RAG (Retrieval-Augmented Generation) pipelines and vector databases.
Work Authorization: Authorization to work in the United States or Canada is required.
Location: This is a hybrid role requiring 2 days of in-person collaboration per week from our San Francisco or Waterloo-Kitchener Offices
If you thrive on creating well-crafted products and systems that have a disproportionate impact on the real estate industry’s path to net zero, we invite you to join our team. Apply now to embark on this journey with us.
Location & Eligibility
Listing Details
- Posted
- April 23, 2026
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 21%
- Scored at
- May 6, 2026
Signal breakdown
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