Senior Applied ML Engineer — LLMs & AI Pipelines

PermitFlow; New York (NY); Hybrid; USD 175,000 - 245,000; Full time

Benefits offered by this job

Competitive salary and equity

100% paid health, dental, and vision coverage

Company laptop and equipment stipend

Daily meals via UberEats

Unlimited PTO

Job summary

A construction technology company in New York is seeking an Applied Machine Learning Engineer to develop ML foundations for AI agents and manage the full ML lifecycle. Ideal candidates will have expertise in NLP and LLMs, strong Python and cloud infrastructure skills, and a passion for driving impactful AI solutions. This full-time role offers a competitive salary and flexible working arrangements.

Qualifications

• 5+ years of experience in machine learning engineering with production ML experience.
• Deep expertise in NLP and LLMs (OpenAI GPT, Claude, Hugging Face models).
• Strong track record of deploying and scaling ML systems with measurable business impact.

Responsibilities

• Design, implement, and optimize LLM-powered models for document processing.
• Develop retrieval-augmented generation (RAG) pipelines and search systems.
• Own the full ML lifecycle: experimentation, deployment, monitoring.

Skills

Machine learning engineering

Natural Language Processing (NLP)

Python

Cloud ML infrastructure (AWS, GCP, or Azure)

System design and architecture

Tools

OpenAI GPT

FAISS

Elasticsearch

PyTorch

TensorFlow

Job description

A construction technology company in New York is seeking an Applied Machine Learning Engineer to develop ML foundations for AI agents and manage the full ML lifecycle. Ideal candidates will have expertise in NLP and LLMs, strong Python and cloud infrastructure skills, and a passion for driving impactful AI solutions. This full-time role offers a competitive salary and flexible working arrangements.