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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.

Average salary estimate

$145000 / YEARLY (est.)
min
max
$130000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Engineer, Cambio AI Inc.

At Cambio, located in the vibrant Toronto tech scene, we’re on a mission to transform the real estate industry and tackle climate change head-on. As an AI Engineer, you'll be a crucial part of this journey, helping us integrate cutting-edge large language models and machine learning solutions into our platform. Imagine being at the forefront of innovation where your work enhances customer experiences and drives operational efficiency. You’ll be involved in designing and implementing AI-driven features that not only improve our platform but also streamline internal workflows through automation tools. Your expertise in LLMs and ML will be pivotal as you build a robust AI infrastructure that ensures scalability and efficiency. With a team culture that thrives on collaboration, you’ll work closely with our product, engineering, and data teams to define the best practices in AI applications. If you’re passionate about tech and eager to make a significant impact in achieving net zero by 2050, then we want you on our team. Don't miss this chance to work with top talents and world-class partners like Y Combinator and Google while contributing to a sustainable future. Join us as an AI Engineer and be part of the solution in making real estate a greener industry!

Frequently Asked Questions (FAQs) for AI Engineer Role at Cambio AI Inc.
What are the main responsibilities of an AI Engineer at Cambio?

As an AI Engineer at Cambio, your main responsibilities include designing and implementing AI-driven features to enhance customer experiences, developing LLM-based automation tools to increase team productivity, and building scalable AI infrastructures. You will also focus on model performance optimization and collaborate with cross-functional teams to leverage AI technologies effectively.

Join Rise to see the full answer
What qualifications are required for the AI Engineer position at Cambio?

To qualify for the AI Engineer role at Cambio, candidates should have at least 5 years of technical experience in AI engineering or related fields. Familiarity with LLM technologies and proficiency in Python, TensorFlow, or PyTorch is critical. Moreover, experience with MLOps and a problem-solving mindset are essential for success in this position.

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How does Cambio foster collaboration among its AI Engineers and other teams?

At Cambio, collaboration is key! AI Engineers work closely with product, engineering, and data teams to ensure that AI-driven features meet business needs. Regular brainstorming sessions, workshops, and shared projects encourage a collective problem-solving approach, fostering a team environment that thrives on innovation and mutual support.

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What technologies will I be working with as an AI Engineer at Cambio?

As an AI Engineer at Cambio, you'll work with leading technologies, including AWS Bedrock, OpenAI models, and various machine learning frameworks like TensorFlow and PyTorch. Additionally, you will engage with vector databases such as FAISS and Pinecone, as well as venture into the realm of retrieval-augmented generation (RAG) pipelines.

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What kind of work culture can I expect at Cambio as an AI Engineer?

Cambio prides itself on a dynamic work culture that values innovation, collaboration, and a passion for climate solutions. As an AI Engineer, you'll be part of a lean, high-performing team that embraces challenge, encourages creative problem-solving, and celebrates successes in decarbonizing the real estate industry.

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Common Interview Questions for AI Engineer
What experience do you have with LLM technologies in production?

It's crucial to discuss specific LLM projects you've worked on, detailing the technologies you utilized and the impact your contributions had. Highlight any experience you have with model distillation, fine-tuning, or prompt engineering, backing up your claims with metrics or outcomes if possible.

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Can you explain the importance of collaboration in the AI Engineer role at Cambio?

Collaboration is vital for the success of AI projects. Your answer should emphasize how working with cross-functional teams enables sharing of diverse insights and expertise, leading to innovative solutions and ensuring that AI solutions align with overall business goals.

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What AI-specific challenges have you tackled in the past?

When answering this, describe a specific challenge, the steps you took to address it, and what you learned from the experience. This shows both your problem-solving capabilities and your resilience in facing obstacles.

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How do you approach optimizing the performance and cost of AI models?

Discuss your strategies for model performance evaluation, including metrics you use, techniques for reducing operational costs, and any tools or frameworks you leverage for optimization. Be sure to underscore your analytical skills and results achieved.

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What role do you see machine learning playing in real estate decarbonization?

This is an opportunity to showcase your understanding of the industry. Discuss how machine learning can enhance predictive analytics, improve energy efficiency, or support sustainability assessments, emphasizing its potential impact on achieving net-zero goals.

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Describe a successful project where you implemented an AI solution.

Select a project where your contributions were significant. Share the problem, your approach, and the successful outcomes. Quantifying results can provide additional weight to your story and showcase your capabilities.

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How do you stay updated with the latest advancements in AI and machine learning?

It's essential to demonstrate your commitment to continuous learning by mentioning relevant courses, conferences, or publications you follow. This shows your dedication to staying at the cutting edge of technology.

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In your opinion, what are some ethical considerations in AI development?

Discuss the importance of fairness, transparency, and accountability in AI development. Reflect on how you can ensure responsible AI usage in projects, which aligns well with Cambio's mission in the climate sector.

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How would you handle conflicting opinions within a cross-functional team?

Explain your approach to conflict resolution, focusing on active listening, seeking common ground, and emphasizing the goal of achieving the best outcome for the project. Highlight your communication and interpersonal skills.

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What approaches do you use for effective AI model documentation?

Talk about the importance of thorough documentation, including details on how to maintain models, version control practices, and clarity in communicating technical aspects to different stakeholders. This shows your attention to detail and professionalism.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 2, 2025

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