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# AI/ML Engineer

- **Company:** PERFORMANCE PC, INC.
- **Location:** Panama City, FL, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Web Interfaces, JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Computer Vision, Python (Programming Language), MongoDB, Natural Language Processing, Selenium, ReactJS, Large Language Models, Playwright, Machine Learning Operations
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj29mfqkda

## About the Role

* 6+ years with Python development experience
 * 4+ years experience as an AI/ML Developer.
 * JavaScript / Node.js / React
 * Experience with Mongo DB and AWS
 * Upper Intermediate English level

## Description

As the Sr AI/ML Engineer, you'll lead the development of our core machine learning systems. You'll fine-tune large language models (LLMs), build NLP pipelines, automate insurance workflows, and implement user feedback loops for continual model improvement.

This is a senior role for someone who's not afraid of ambiguity, gets energy from building things that don't exist yet, and wants to work on meaningful problems with a small, fast-moving team.

You'll also collaborate with the founders (CEO & CTO) to help define the company's technical direction.

Responsibilities

 * Natural Language Processing & Understanding: Build and fine-tune NLP systems to extract structured data and insights from dense, jargon-heavy insurance documents.
 * Lead the development and fine-tuning of large language models tailored to our domain.
 * Architect training workflows that use user feedback and corrections to continually improve model performance.
 * Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats.
 * Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures.
 * Design robust evaluation pipelines and performance metrics for all models.
 * Help architect scalable systems to support training, inference, and feedback pipelines.
 * You'll be building core systems from scratch.