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PermitFlow is an applied AI company transforming construction permitting and compliance workflows. The company has raised over $90M (Series B) from top-tier investors including Accel, Kleiner Perkins, Y Combinator, and others, and serves the nation's fastest-growing construction companies. PermitFlow's AI agent workforce helps navigate permitting, licensing, inspections, and project closeouts, having already delivered impact across over $20B in development.
As an Applied Machine Learning Engineer, you will develop the ML foundation powering PermitFlow's AI agents. You'll own the end-to-end ML lifecycle—from model research and data engineering through production deployment and continuous evaluation. Your work will directly impact how construction companies navigate regulatory complexity and accelerate project timelines.
Key responsibilities include:
- Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit workflow automation
- Develop retrieval-augmented generation (RAG) pipelines and search/retrieval systems for jurisdictional and regulatory data
- Rapidly prototype, fine-tune, and evaluate pre-trained models for NLP tasks including classification, entity recognition, and summarization
- Build scalable ML infrastructure and backend services, integrating models into production systems that power AI agents
- Work with large structured and unstructured datasets to improve indexing, retrieval, and contextual accuracy
- Own the full ML lifecycle: experimentation, deployment, monitoring, evaluation, and iteration
- Balance ML, retrieval, and rule-based approaches to ship reliable, maintainable, and high-impact AI features
- Collaborate with engineering, product, and domain experts to shape ML-powered solutions for complex pre-construction challenges
The role is based in New York City with a hybrid schedule (3 in-office days per week). The company prefers NYC-based candidates or those open to relocation.
REQUIREMENTS:
- 5+ years of experience in machine learning engineering, with production ML experience
- Deep expertise in NLP and LLMs (OpenAI GPT, Claude, Hugging Face models)
- Experience building retrieval and vector search systems (e.g., FAISS, Elasticsearch, Pinecone, Weaviate)
- Proficiency in Python and ML frameworks like PyTorch or TensorFlow
- Strong track record of deploying and scaling ML systems with measurable business impact
- Experience with cloud ML infrastructure (AWS, GCP, or Azure)
- Strong system design and architectural thinking, with a bias toward shipping and iterating quickly
- Comfort operating in fast-moving startup environments with high ownership and autonomy
About PermitFlow
Real Estate / Construction Tech; SaaS / Enterprise Software — construction permitting workflow software.
