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# AI / ML Engineer - Healthcare AI Systems

- **Company:** EXPLEO LLC
- **Location:** Rochester, MN, United States (Remote available)
- **Salary:** $176,800.0 - $197,600.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, Health Informatics, Clinical Data Repository, Continuous Integration, Data Flow Control, Python (Programming Language), Machine Learning, Azure DevOps Pipelines, Software Engineering, IBM Watson Health, Google Cloud, Large Language Models, Prompt Engineering, Information Technology, Machine Learning Operations, Terraform, Data Pipelines, Automation Anywhere
- **Published:** June 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9bd6ee1a78b614e0

## About the Role

Do you have experience in Testing and evaluation?, Do you have a High school diploma or GED?, * 7+ years of experience in software engineering, ML engineering, or AI engineering

 * Strong Python experience in production environments (APIs, async workflows, testing)
 * Hands-on experience designing and deploying AI / LLM agent systems
 * Experience with at least one agent framework such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or Google ADK
 * Practical experience with RAG architectures, embeddings, and vector databases
 * Experience deploying AI systems in Azure, AWS, or GCP
 * Understanding of HIPAA / PHI handling, including de-identification and secure AI workflows
 * Strong communication skills and ability to explain complex AI concepts to non-technical stakeholders

Bonus Points If You Have

 * Experience with Google Cloud or Azure in regulated environments
 * MCP, A2A, or protocol-driven AI architectures
 * Experience with BigQuery, Firestore, Cloud SQL, or Dataflow
 * MLOps or LLMOps experience in enterprise environments
 * Infrastructure as Code (Terraform) and CI/CD (Azure DevOps Pipelines)
 * Experience with healthcare informatics standards and clinical data models

Education & Certifications You Need

 * Master's degree in Engineering, Computer Science, Mathematics, Health Science, or related field with 1+ year experience
OR

 * Bachelor's degree with 3+ years of relevant experience
OR

 * HS Diploma/GED with 7+ years of experience

## Description

* Technical Ownership - Influence architecture, guardrails, evaluation frameworks, and deployment patterns
 * Collaborative Environment - Partner closely with clinicians, product leaders, UX designers, and data teams

Your Role & Responsibilities

 * Design and implement agentic AI systems, including LLM integrations, orchestration patterns, prompt engineering, and tool-using agents
 * Build and maintain production Python services, APIs, automation workflows, and data pipelines
 * Develop RAG pipelines using embeddings, vector databases, and structured/unstructured healthcare data
 * Implement evaluation frameworks and guardrails to address hallucinations, safety, PHI protection, and quality before production
 * Deploy, monitor, and optimize AI/ML solutions in cloud environments using CI/CD pipelines
 * Collaborate cross-functionally to translate clinical and operational needs into scalable AI solutions
 * Ensure solutions meet healthcare regulatory, quality, and risk mitigation standards
 * Contribute to AI/ML best practices, MLOps/LLMOps methodologies, and continuous improvement


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