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Job Title: AI Engineer (RCM Platform)
Location: Remote (U.S.)
Job-Type: Consulting / Contract
Employment Eligibility: Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly (we are not open to contract or “corp to corp” agreements).
Role Overview:
Our client is seeking an AI Engineer to support the design, development, validation, and deployment of AI-enabled capabilities across a Revenue Cycle Management (RCM) platform. This role focuses on building production-grade AI systems that improve operational workflows across claims, denials, AR management, coding, and performance analytics. The role includes deploying AI solutions on cloud-native, containerized infrastructure using Kubernetes.
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
Requirements:
- Minimum of five (5)+ years of overall work experience
- Experience with LLMs, RAG, and generative AI application development
- Strong Python skills and experience building APIs / backend microservices
- Experience with cloud AI platforms (Azure AI, AWS Bedrock/SageMaker, or GCP Vertex AI)
- Experience integrating AI with data pipelines, ETL/ELT, and enterprise data integration
- Experience with vector databases, embeddings, and semantic search
- Experience with AI/ML model evaluation, validation, monitoring, and production reliability
- Experience with CI/CD and MLOps for production AI systems
- Understanding of AI governance requirements (explainability, auditability, compliance)
- Proven experience delivering AI solutions from prototype to production
- Experience with Docker and Kubernetes (AKS/EKS/GKE) for containerized deployments
- Understanding of container orchestration and scalable system design
Preferred Qualifications:
- Experience in healthcare revenue cycle management (RCM)
- Experience with agent-based orchestration
- Familiarity with MLOps practices
- Experience with Kubernetes tooling such as Helm and service mesh technologies
- Experience with GPU workloads in Kubernetes
- Experience building AI/ML or LLM applications in production environments
What Success Looks Like:
- AI features deployed into live RCM workflows
- Measurable improvements in productivity and throughput
- Scalable AI services operating across Kubernetes environments supporting multiple clients
Job Title: AI Engineer (RCM Platform)
Location: Remote (U.S.)
Job-Type: Consulting / Contract
Employment Eligibility: Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly (we are not open to contract or “corp to corp” agreements).
Role Overview:
Our client is seeking an AI Engineer to support the design, development, validation, and deployment of AI-enabled capabilities across a Revenue Cycle Management (RCM) platform. This role focuses on building production-grade AI systems that improve operational workflows across claims, denials, AR management, coding, and performance analytics. The role includes deploying AI solutions on cloud-native, containerized infrastructure using Kubernetes.
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
Requirements:
- Minimum of five (5)+ years of overall work experience
- Experience with LLMs, RAG, and generative AI application development
- Strong Python skills and experience building APIs / backend microservices
- Experience with cloud AI platforms (Azure AI, AWS Bedrock/SageMaker, or GCP Vertex AI)
- Experience integrating AI with data pipelines, ETL/ELT, and enterprise data integration
- Experience with vector databases, embeddings, and semantic search
- Experience with AI/ML model evaluation, validation, monitoring, and production reliability
- Experience with CI/CD and MLOps for production AI systems
- Understanding of AI governance requirements (explainability, auditability, compliance)
- Proven experience delivering AI solutions from prototype to production
- Experience with Docker and Kubernetes (AKS/EKS/GKE) for containerized deployments
- Understanding of container orchestration and scalable system design
Preferred Qualifications:
- Experience in healthcare revenue cycle management (RCM)
- Experience with agent-based orchestration
- Familiarity with MLOps practices
- Experience with Kubernetes tooling such as Helm and service mesh technologies
- Experience with GPU workloads in Kubernetes
- Experience building AI/ML or LLM applications in production environments
What Success Looks Like:
- AI features deployed into live RCM workflows
- Measurable improvements in productivity and throughput
- Scalable AI services operating across Kubernetes environments supporting multiple clients
To Apply for this Job Click Here
Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.