LLM Engineer

USA Clinics Group•Northbrook, IL

1d•$85,000 - $115,000•Onsite

About The Position

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve operational efficiency, and support strategic initiatives across all departments. This role partners with business leaders to identify opportunities for AI adoption and develops scalable solutions that drive measurable organizational impact.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field required.
Minimum 3-5 years of software engineering, machine learning, AI development, or automation experience.
Experience working with Large Language Models (LLMs), prompt engineering, AI APIs, and AI development platforms.
Proficiency in Python, SQL, APIs, cloud platforms, and workflow automation tools.
Experience building, deploying, and maintaining production-grade AI applications and integrations.

Responsibilities

Design, develop, deploy, and maintain AI-powered applications, workflows, copilots, agents, and automation solutions using large language models.
Partner with department leaders to identify business processes that can be improved through AI, automation, and advanced analytics.
Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and governance standards.
Build AI solutions that support recruiting, credentialing, revenue cycle, finance, operations, marketing, and clinical support functions.
Create and maintain documentation, SOPs, technical standards, and best practices for AI implementation across the organization.
Monitor AI system performance, accuracy, adoption, security, and return on investment.
Lead AI education, training, and change management initiatives to increase organizational adoption and effectiveness.
Serve as the organization's subject matter expert on AI technologies, emerging trends, and innovation opportunities.
Develop custom GPTs, AI agents, retrieval-augmented generation (RAG) solutions, and workflow automations that improve operational efficiency.
Integrate AI platforms with business systems such as ATS, CRM, credentialing, revenue cycle, HRIS, document management, and reporting tools.
Build automated reporting, data extraction, document processing, and decision-support solutions using AI technologies.
Evaluate and implement emerging AI technologies, models, frameworks, and tools to continuously improve business performance.