Senior Software Engineer, AI Products

Cambio; Waterloo; Hybrid; CAD 268,000 - 324,000; Full time

Job summary

A leading real estate technology firm is seeking an experienced AI Engineer to integrate large language models into its platform. The successful candidate will design AI-driven features and build scalable AI infrastructure. With a competitive compensation range of $195K - $235K, this role offers an opportunity to impact real estate's path to net zero. A hybrid work model is available, based in Waterloo, New York, or San Francisco.

Benefits

Competitive compensation

Meaningful early-stage equity

Qualifications

• 5+ years of experience as a Backend Software Engineer working with ML and Gen-AI.
• Strong experience with LLM technologies in production.
• Proficiency in Python and vector databases.

Responsibilities

• Design, implement, and optimize AI-driven features for the platform.
• Develop LLM-based internal automation tools to streamline workflows.
• Build and maintain an ML/LLM pipeline.

Skills

LLM expertise

Python

MLOps experience

Problem-solving mindset

Collaboration skills

Tools

Django

AWS

PostgreSQL

Job description

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.

Things Our Engineers Love:

• 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

What You Will Be Doing

• 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.

What We’re Looking For

• 5+ years of technical experience: 5+ years of experience as a Backend Software engineer working directly with ML and Gen-AI 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 with prompt engineering, model selection, and ML/AI observability.
• Technology Skills: 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.
• 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

Logistics

• Work Authorization: Authorization to work in the United States or Canada is required.
• Location: This is a hybrid role and can be based in one of our three North American hubs—Waterloo, New York, or San Francisco.

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 SRE Engineer at Cambio. Apply now to embark on this journey with us.

Compensation Range: $195K - $235K