ABOUT PERMITFLOW

PermitFlow’s mission is to streamline and simplify construction permitting in the $1.6 trillion United States construction market. Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.
We’ve raised a $31m Series A led by Kleiner Perkins with participation from Initialized Capital, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from Zillow, PlanGrid, Thumbtack, Bluebeam, Uber, Procore, and more.
Our team consists of architects, structural engineers, permitting experts, and workflow software specialists, all who have personally experienced the pain of permitting.

QUALIFICATIONS & FIT:

• 3+ years of experience (post-BS/MS) in an engineering role.
• Experience with shipping a scaled and impactful product powered by machine learning: how to use offline datasets, online experiments, and recent research to build simple and high performance systems. Prior experience with LLMs and retrieval pipelines is not required.
• Track record of shipping reliable products and a strong attention to detail.
• Experience building backend platforms that can support multiple product lines.
• Grit - experience working at early-stage startups is a plus.

You’ll work alongside the CTO and engineering team to develop the first construction permit application and management platform for builders. Our current team consists of engineers from Uber, Amazon, NerdWallet, OnDeck, Harvard, Stanford, and more.

As an Applied AI Engineer at PermitFlow, you will play a critical role in developing and deploying AI-driven solutions to optimize and automate permitting workflows. You will work with large-scale data, build intelligent systems, and integrate AI models into our core platform. If you are passionate about AI/ML and excited about solving real-world problems with modern AI techniques, we want to hear from you!

• Develop, train, and deploy AI/ML models to automate and enhance permitting workflows.
• Work with structured and unstructured data, leveraging NLP, computer vision, and LLMs to extract insights.
• Build scalable AI-powered APIs and integrate models into production systems.
• Optimize AI inference pipelines for performance, scalability, and cost-efficiency.
• Collaborate with engineering, product, and design teams to identify AI-driven solutions to business challenges.
• Stay up to date with advancements in AI/ML and recommend best practices for adoption.
• Ensure compliance with AI ethics, security, and privacy guidelines.