Applied AI Engineer

March 19

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Logo of PermitFlow

PermitFlow

PermitFlow is a company focused on streamlining the permitting process for developers, builders, contractors, and other professionals across various municipalities. Their platform offers services such as permit research, preparation, submission, and tracking, all designed to expedite the approval process. With a team of local experts and nationwide coverage, PermitFlow ensures that projects are permitted quickly and efficiently, reducing paperwork and enhancing transparency. The company provides specialized solutions for a range of projects including new construction, roofing, and renovations for both residential and commercial properties, making it easier for clients to navigate municipal regulations.

Building Permits • Construction Permits • Construction Technology • Permit Software • Permits

11 - 50 employees

🏢 Enterprise

⚡ Productivity

🤝 B2B

💰 $31M Series A on 2024-02

📋 Description

You'll work alongside the CTO and engineering team to develop the first construction permit application and management platform for builders.•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.

🎯 Requirements

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.

🏖️ Benefits

📈 Equity packages•💰 Competitive Salary•🩺 100% Paid health, dental & vision coverage•💻 Company issued laptop.•🎧 Home office & equipment stipend•🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen•🚍 Commuter benefits•🎤 Team building events•🌴 Unlimited PTO

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