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.
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.
You will:
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
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
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
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