AI Engineer

Résumé du poste

You will build and maintain end-to-end AI-powered features, from initial prototyping to production deployment. Additionally, you will design evaluation frameworks to measure model quality and collaborate with the team to optimize inference pipelines.

Détails du poste

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

Ce que vous ferez

You will build and maintain end-to-end AI-powered features, from initial prototyping to production deployment. Additionally, you will design evaluation frameworks to measure model quality and collaborate with the team to optimize inference pipelines.

Exigences

The ideal candidate has hands-on experience with LLMs, generative AI, and Python web development. You must be comfortable with evaluation frameworks, vector databases, and balancing model cost, latency, and accuracy.

Avantages

• Competitive compensation • Startup equity • Flexible time off • Annual learning budget • Catered lunch

Compétences indiquées

• Apprentissage automatique · Souhaitée
• Django · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Django
• LLMs
• Generative AI
• Prompting
• Fine-tuning
• RAG
• Vector databases
• Data pipelines
• Inference pipelines
• Model evaluation
• Software engineering
• Machine learning
• Retrieval-based architectures

Domaines d’emploi

• Technology
• Software
• Engineering
• Data & Analytics
• Environmental & Sustainability