PermitFlow
About PermitFlow
PermitFlow is redefining how America builds. Pre-construction remains one of the most broken and manual parts of the $1.6T construction industry, causing massive delays, wasted capital, and lost opportunity across the built world. Our AI workforce delivers unprecedented speed, accuracy, and visibility to pre-construction — accelerating housing development, enabling clean-energy projects, and driving economic growth in communities nationwide. To date, we’ve powered over $20B in real estate development, helping builders and contractors move faster, reduce risk, and scale with confidence. We’re entering hypergrowth with clear product-market fit and a world-class team from top AI and construction companies. We’ve raised over $36.5M from Kleiner Perkins, Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures, alongside backers from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. We are on a mission is to modernize how the built world operates. 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. ✅
What You’ll Do
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 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 Benefits Competitive salary and meaningful equity 100% paid health, dental, and vision coverage Company laptop and tools of your choice ️ Daily meals via UberEats and fully stocked kitchen Commuter benefits Team events and offsites Unlimited PTO
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PermitFlow is redefining how America builds. Pre-construction remains one of the most broken and manual parts of the $1.6T construction industry, causing massive delays, wasted capital, and lost opportunity across the built world. Our AI workforce delivers unprecedented speed, accuracy, and visibility to pre-construction — accelerating housing development, enabling clean-energy projects, and driving economic growth in communities nationwide. To date, we’ve powered over $20B in real estate development, helping builders and contractors move faster, reduce risk, and scale with confidence. We’re entering hypergrowth with clear product-market fit and a world-class team from top AI and construction companies. We’ve raised over $36.5M from Kleiner Perkins, Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures, alongside backers from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. We are on a mission is to modernize how the built world operates. 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. ✅
What You’ll Do
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 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 Benefits Competitive salary and meaningful equity 100% paid health, dental, and vision coverage Company laptop and tools of your choice ️ Daily meals via UberEats and fully stocked kitchen Commuter benefits Team events and offsites Unlimited PTO
#J-18808-Ljbffr