AI Engineer — LLMs for RCM Automation

Guidehouse; United States; On-site; USD 130,000 - 216,000; Full time

Benefits offered by this job

Medical Insurance

PTO & Holidays

Discretionary bonus

Parental Leave

401(k) Retirement Plan

Life Insurance

Health Savings Account

Student Loan PayDown

Tuition Reimbursement

Mobility Stipend

Job summary

Guidehouse is seeking an AI Engineer to design, validate, and deploy AI-enabled capabilities across a Revenue Cycle Management platform. The role focuses on production-grade AI systems and cloud-native deployment using Kubernetes, Docker, and CI/CD pipelines.

The ideal candidate has extensive experience with LLMs, RAG, and enterprise data integration, building scalable AI services for production and healthcare RCM use cases.

Qualifications

• Minimum of FIVE (5)+ years of overall work experience.

Responsibilities

• Design and deploy AI-enabled workflows for RCM use cases; Build LLM-based applications including RAG and agent orchestration; Develop containerized AI services using Docker and Kubernetes (AKS/EKS/GKE); Implement CI/CD pipelines for Kubernetes deployments; Integrate AI with enterprise systems and data pipelines; Support agent runtime, evaluation frameworks, and human-in-the-loop workflows; Ensure scalability and reliability of AI services in production.

Skills

LLMs

RAG

Generative AI

Python

APIs

Backend microservices

CI/CD

MLOps

AI governance

Production AI systems

Tools

Docker

Kubernetes

AKS

EKS

GKE

Azure AI

SageMaker

Vertex AI

Job description

Guidehouse is seeking an AI Engineer to design, validate, and deploy AI-enabled capabilities across a Revenue Cycle Management platform. The role focuses on production-grade AI systems and cloud-native deployment using Kubernetes, Docker, and CI/CD pipelines.

The ideal candidate has extensive experience with LLMs, RAG, and enterprise data integration, building scalable AI services for production and healthcare RCM use cases.