LLM Engineer

LLM Engineer

Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the hospital settings, USA Clinics Group has 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!

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

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.

Location:

Northbrook, IL

Schedule:

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

• 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.