
Urban Ridge Supplies Verified
Retail Furniture and Home Furnishings
AI Engineer
Kitchener, ONOnsiteFull TimePosted 1 month ago
Required skills
- Python
- Django
- LLMs
- generative AI
- prompting
- fine-tuning
- RAG
- model evaluation
- vector databases
- retrieval-based architectures
Nice to have
- AI features
- model quality
- model cost
- latency
- accuracy
Role summary
Cambio is seeking an AI Engineer to develop AI-powered features for their real estate decarbonization platform. The role involves building AI features end-to-end, designing evaluations for model quality, managing data and inference pipelines, and experimenting with new AI approaches. The ideal candidate is experienced in Python web development, has hands-on experience with LLMs/generative AI, is comfortable with evaluation frameworks, and understands vector databases and retrieval architectures. This hybrid role is based in New York City.
About Cambio
Cambio is a software platform for real estate decarbonization. We help commercial real estate owners bring their portfolios to net-zero with an AI-driven sustainability, asset, and investment management platform. We're backed by Y Combinator, Google, and Stanford — and we're the fastest-growing startup in our category.
The role
We're looking for an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it.
What You'll Be Doing
Job Id: 89c83hll6ZKCWn56x+mdrG4JcGVdDNKCC0bVov5EO9ZfnRWu6NRFGe0/KlGtRgl4MZfgVtprY5eDSCW0P71Eysoxd2OB2mMHUA==
Cambio is a software platform for real estate decarbonization. We help commercial real estate owners bring their portfolios to net-zero with an AI-driven sustainability, asset, and investment management platform. We're backed by Y Combinator, Google, and Stanford — and we're the fastest-growing startup in our category.
The role
We're looking for an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it.
What You'll Be Doing
- Build AI features end-to-end, from prototype to production
- Design and run evals to measure and improve model/feature quality
- Build and maintain data + inference pipelines that power AI features in production
- Experiment with new models, prompting, and retrieval approaches to improve accuracy and cost
- Support and collaborate with your teammates
- An A-player: low ego, curious, and serious about your craft
- You are outcome driven
- Work isn't in opposition to life for you - it's part of your life because you genuinely enjoy it
- You ship through obstacles — roadblocks are part of the problem to solve
- You move with urgency and close the week with visible impact
- You're relentlessly curious and treat truth-seeking as a discipline
- You believe iteration speed is quality - the way to build great things is to build fast and learn faster
- You show up for your teammates, in person. You unblock before being asked and never let someone stay stuck
- You own your work end-to-end - proactive about visibility, proud of your progress, and you over-communicate until everyone is fully aligned
- Experienced in Python web development (Django is a bonus)
- Someone who's shipped AI features and understands the eval challenges that come with them
- Hands-on experience with LLMs/generative AI (prompting, fine-tuning, or RAG)
- Comfortable with evaluation frameworks and measuring model quality in production
- Familiar with vector databases and retrieval-based architectures
- Understands the tradeoffs between model cost, latency, and accuracy
- Competitive compensation and startup equity
- Flexible time off
- $1,200 annual learning budget
- Catered lunch
- Best workstation in beautiful offices in Waterloo, New York, and San Francisco
Job Id: 89c83hll6ZKCWn56x+mdrG4JcGVdDNKCC0bVov5EO9ZfnRWu6NRFGe0/KlGtRgl4MZfgVtprY5eDSCW0P71Eysoxd2OB2mMHUA==
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