Applied AI Engineer

2 Months ago • 3 Years + • $150,000 PA - $250,000 PA

Research Development

Job Description

PermitFlow is seeking an Applied AI Engineer to develop and deploy AI-driven solutions for streamlining construction permitting in the United States. The role involves working with large-scale data, building intelligent systems, integrating AI models into the core platform, and developing AI-powered APIs. Responsibilities include developing, training, and deploying AI/ML models, working with structured and unstructured data using NLP, computer vision, and LLMs, optimizing AI inference pipelines, and collaborating with cross-functional teams. The ideal candidate will have at least 3 years of engineering experience, a track record of shipping impactful machine learning products, and experience building backend platforms.

Good To Have:

Experience with LLMs and retrieval pipelines
Experience at early-stage startups
Experience in construction permitting

Must Have:

3+ years of experience in an engineering role
Shipped scaled ML products
Built reliable backend platforms
Attention to detail
Passion for AI/ML

Perks:

Equity packages
Competitive Salary
100% Paid health, dental & vision coverage
Company issued laptop
Lunch & Dinner provided via UberEats
Fully stocked kitchen
Commuter benefits
Team building events
Unlimited PTO

Add these skills to join the top 1% applicants for this job

computer-vision

machine-learning

🚀 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.

📌About the Team

We have a lean but mighty engineering team. We’ve done a lot with a little, but there’s much more work to be done to continue our fast-paced growth and we want you to be a part of that growth. You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of PermitFlow.

Ideally, you’re based in NYC or willing to relocate for hybrid work. We’re currently hybrid in-person 3 days/week in our NYC office.

✅ What You’ll Do:

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.

🙌 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.