AI / ML Engineer – Healthcare AI Systems

Expleo•Rochester, MN

1d•$85 - $95•Remote

About The Position

Are you excited by the idea of building real, production AI systems that directly impact patient care? Trissential is partnering with a leading healthcare organization to hire AI/ML Engineers who thrive at the intersection of advanced AI, cloud engineering, and healthcare delivery. This is not an experimental or academic role. You’ll design, build, evaluate, and deploy production‑grade AI and agentic systems that clinicians and operational teams rely on every day. What’s in It for You? Real‑World Impact – Your AI solutions will be deployed into clinical workflows, directly improving patient care and healthcare operations Modern AI Stack – Work hands‑on with LLMs, agent architectures, RAG pipelines, and cloud‑native AI systems Healthcare‑Grade Engineering – Build solutions that meet HIPAA, PHI, and regulatory requirements Technical Ownership – Influence architecture, guardrails, evaluation frameworks, and deployment patterns Collaborative Environment – Partner closely with clinicians, product leaders, UX designers, and data teams

Requirements

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

Nice To Haves

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

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