AI Engineer
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. 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.
The role
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.
What You Will Be Doing:
LLM Integration – 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 an 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.
What We’re Looking For:
5+ years of technical experience: 5+ years of experience as an AI Engineer or similar. Prior startup experience is preferred but not required.
Strong LLM & ML Expertise: Experience working with LLM technologies (AWS Bedrock, OpenAI, Anthropic, Hugging Face models, or Llama etc.) in production and proficiency in model distillation, fine tuning & prompt engineering.
Technology Skills: Proficiency in Python, TensorFlow/PyTorch, vector databases (FAISS, Pinecone, Weaviate), and retrieval-augmented generation (RAG) pipelines.
MLOps Experience: Familiarity with AI model deployment, monitoring, and scaling in production environments.
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.
Our Tech Stack:
Infra: AWS, Fargate, Redis, PostgreSQL, SQS, CDK, Github, retool
Backend: Django REST framework, Celery
Frontend: Next.js, Tailwind css
LLM: AWS Bedrock, OpenAI, Claude
What Do We Offer
We are a lean, growing, and high-performing team that works hard and is passionate about the climate problems we’re working on:
Fast-growing startup experience: 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.
Work with the best: Our team members come from top organizations in their sectors, including OMERS, Goldman Sachs, Faire, One Medical, Google, and Bain.
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 as an AI Engineer at Cambio. Apply now to embark on this journey with us.
Logistics:
Work Authorization: Authorization to work in the United States or Canada is required.
Location: This is a hybrid role, and we generally hire out of 3 hubs—Toronto/Waterloo, New York, and San Francisco. Being located in or near one of these cities is strongly preferred.
Compensation: This role is currently set at a salary range of ~$130,000-160,000.