AI Engineer

cambio; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Startup equity

Flexible time off

Learning budget

Catered lunch

Job summary

Cambio is seeking an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it. You will design and run evals, build data and inference pipelines, and explore new models to improve accuracy and cost.

You thrive in a fast-paced startup environment and collaborate closely with teammates to deliver impact across the real estate decarbonization platform.

Qualifications

• Experience shipping AI features for production systems.
• Hands-on with LLMs, prompting, fine-tuning, or retrieval-based AI.
• Familiarity with evaluation of model quality in production.
• Understanding of vector databases and retrieval-based architectures.
• Ability to balance model cost, latency, and accuracy in real-world use.

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 approaches.
• Support and collaborate with teammates.

Skills

Python development

Django knowledge

AI features

LLMs / Generative AI

Evaluation frameworks

Vector databases

Latency vs cost tradeoffs

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