As an Applied Machine Learning Engineer, you will develop the ML foundation for PermitFlow’s AI agents. You’ll design, prototype, and deploy intelligent systems that process documents, extract insights, and power autonomous permitting workflows. You will own the end-to-end ML lifecycle, from model research and data engineering to production deployment and continuous evaluation.

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 real-world NLP tasks like 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

Applied Machine Learning Engineer

Responsibilities

Qualification

Required

Benefits

Company

Permitflow

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