AI Engineer

Stanford Climate Ventures; Toronto; On-site; CAD 100,000 - 140,000; Full time

Benefits offered by this job

Catered lunch

Learning budget

Flexible time off

Office in Waterloo, NY, SF

Job summary

Cambio is hiring an AI Engineer to build AI-powered features and support the team. You will ship end-to-end AI features, design evals to improve model quality, and maintain data and inference pipelines powering production capabilities.

You will experiment with new models, prompting, and retrieval approaches to improve accuracy and cost, while collaborating closely with teammates to deliver impact.

Qualifications

• Experience building AI features end-to-end from prototype to production.
• Hands-on experience with LLMs and retrieval-based AI.
• Familiar with evaluation of model quality in production.
• Experience with vector databases and related architectures.
• Ability to balance model cost, latency and accuracy.

Responsibilities

• 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 powering AI features.
• Experiment with new models, prompting, and retrieval methods.
• Support and collaborate with teammates.

Skills

Python web dev

Django experience

AI features

LLMs

Evaluation frameworks

Vector databases

Cost vs latency

Job description

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

• 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

Who you are

• 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

What do you bring

• 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

What we offer

• 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