PermitFlow is redefining how America builds. We’re an applied AI company serving the nation’s builders, tackling one of the largest information challenges in the economy: understanding what can be built, where, and how. Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts – accelerating housing, clean-energy, and infrastructure development across the country.

Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence.

America is entering a CAPEX super-cycle, from data centers and factories to housing and renewables, and joining PermitFlow is building the AI at the heart of every construction project powering the next wave of re-industrialization.

We’ve raised over $90M, most recently completing our Series B, from top-tier investors including Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.

Our HQ is in New York City with a hybrid schedule (3 in-office days per week). We prefer NYC-based candidates or those open to relocation.

Role Overview

As an Applied AI Engineer, you will design and deploy the AI agents that power PermitFlow’s pre-construction platform. You will own the full lifecycle of intelligent agents—from model development to orchestration, productionization, and evaluation—while contributing to core platform engineering.

What You’ll Do

• Develop and deploy AI agents that automate permitting workflows end-to-end

• Orchestrate multiple models and tools to create reliable, multi-step AI systems

• Build the internal tools and infrastructure that power and monitor these agents

• Design and implement backend and frontend services, APIs, and data pipelines, integrating AI functionality into user-facing features when needed

• Contribute to system architecture and core platform design with the engineering team

• Design and maintain a suite of evaluations and benchmarks to measure agent accuracy, reliability, and cost-effectiveness

• Optimize inference pipelines and backend systems for speed, scalability, and cost

What We’re Looking For

• 3+ years in software or ML engineering post-BS/MS

• Hands-on experience shipping production AI/ML systems or AI-powered products

• Experience building multi-step ML systems, pipelines, or agentic workflows

• Strong backend and API development skills, with some frontend experience

• Track record of building reliable products with attention to quality and detail

• Startup grit and comfort in fast-moving, evolving environments

What We Offer

• Competitive salary and meaningful equity in a high-growth company

• Comprehensive medical, dental, and vision coverage

• Flexible PTO and paid family leave

• Home office & equipment stipend

• Hybrid NYC office culture (3 days in-office/week) with direct access to leadership

• In-Office Lunch & Dinner Provided