About the role

Design and implement AI-powered applications.
Partner with leaders to identify AI opportunities.
Develop secure AI infrastructure and standards.
Monitor AI system performance and security.
Lead AI education and change management.

Skills the posting asks for

AI
Large Language Models
automation

Summarised from the employer’s posting, which is reproduced in full below.

The employer’s full posting

Description

Why USA Clinics Group?

Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the hospital settings, we’ve grown into the nation’s largest network of outpatient vein, fibroid, vascular, and prostate centers, with 170+ clinics across the country. Our mission is simple: deliver life-changing, minimally invasive care, close to home.

We’re building a culture where innovation, compassion, and accountability thrive. While proud of our growth, we’re even more excited about what’s ahead, and the team we’re building to get there. We look forward to meeting you!

Why You'll Love Working with us:

🚀 Rapid career advancement 💼 Competitive compensation package

🤝 Positive, team-oriented environment 🏥 Work with cutting-ed technology

🌟 Make a real impact on patients’ lives 📈 Join a fast-growing, mission-driven company

Position Summary:

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.

Position Details:

Location: Northbrook, IL
Schedule: Full-time, Monday through Friday on-site.
Compensation: $85,000 - $115,000

Key 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.

AI & Automation Responsibilities

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.