AI RPA Engineer — LLM & MLOps Architect

Beacon Specialized Living

Kalamazoo (MI)

On-site

USD 140,000 - 190,000

Full time

42 hours ago
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Job summary

Beacon Specialized Living seeks an AI Engineer to develop secure AI infrastructure and reusable frameworks enabling internal teams and external consultants to build and deploy AI agents for operations, HR, admissions, and IT, with integration to Beacon’s EHR, eMAR, HRIS, CRM, and incident management systems.

The role focuses on LLM engineering, MLOps, retrieval-augmented generation, and data integration within a healthcare operations context, requiring strong software and AI engineering

Qualifications

  • Bachelor’s degree in CS/Engineering/Data Science or related field.
  • 5+ years of experience in software engineering, data engineering, or AI engineering.
  • Hands-on experience with LLM APIs and orchestration frameworks, prompt engineering, and RAG architectures.

Responsibilities

  • Design and maintain an enterprise AI Agent framework supporting task automation, data retrieval, and workflow orchestration.
  • Build shared services including prompt management, tool/integration layers, and authentication/audit logging.
  • Develop and support LLM-powered clinical and risk-focused solutions and integrate outputs into workflows and dashboards.
  • Implement and manage LLM integrations including secure prompt pipelines, retrieval augmented generation, model eval, and CI/CD for AI services.
  • Collaborate with Data Engineering to leverage Fabric, Azure Data Lake, and Power BI semantic models.

Skills

LLM APIs
RAG architectures
Prompt engineering
API & microservices
CI/CD for AI

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

Tools

Microsoft Fabric
Azure Data Lake
Power BI

Job description

Beacon Specialized Living seeks an AI Engineer to develop secure AI infrastructure and reusable frameworks enabling internal teams and external consultants to build and deploy AI agents for operations, HR, admissions, and IT, with integration to Beacon’s EHR, eMAR, HRIS, CRM, and incident management systems.

The role focuses on LLM engineering, MLOps, retrieval-augmented generation, and data integration within a healthcare operations context, requiring strong software and AI engineering

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