Remote AI Engineer - Healthcare & RAG Pipelines

Eliassen Group; Dover (DE); Remote; USD 125,000 - 165,000; Full time

Job summary

Eliassen Group is seeking an experienced AI Engineer for a remote role supporting healthcare initiatives under the PACE program. You will design, test, and deploy AI-powered solutions using enterprise models and RAG pipelines, collaborating with stakeholders to translate AI capabilities into production systems.

The position requires strong Python, Azure AI, and Docker experience, with emphasis on secure cloud deployments and CI/CD. Remote, open schedule, and emphasis on quality and compliance.

Qualifications

• Three years of hands-on AI/ML engineering experience with an AI focus.
• Experience designing and deploying RAG pipelines with vector databases and retrieval optimization.
• Experience building on commercial LLM APIs with prompt engineering, structured outputs, tool calling, and context management.
• Advanced proficiency in Python for AI applications, APIs, and data pipelines.
• Hands-on experience with Azure AI services and Docker in secure cloud environments.
• DevOps/CI/CD experience using Azure DevOps or equivalent.
• Understanding of agentic architectures with LangChain, LangGraph, Semantic Kernel, or Copilot Studio.
• Experience in Agile or Scrum; healthcare familiarity and HIPAA knowledge are a plus.

Responsibilities

• Design, build, and deploy AI-powered applications using enterprise LLMs to meet PACE business requirements.
• Architect and implement RAG systems grounded in proprietary data with accuracy, relevance, and compliance.
• Own the development lifecycle from ideation and POC through validation, iteration, and production deployment.
• Research and build agentic AI workflows using LangGraph, LangChain, or Copilot Studio.
• Architect and deploy AI services in private cloud environments, primarily Azure, using secure configurations.
• Evaluate and integrate across multiple models based on performance, cost, latency, and compliance.
• Implement AIOps and MLOps practices including monitoring, versioning, automated testing, and CI/CD.
• Continuously evaluate emerging AI tools and models and recommend improvements.

Skills

AI/ML engineering

Python

Azure AI services

Docker

LangChain

LangGraph

Copilot Studio

DevOps / CI/CD

Agile / Scrum

HIPAA / PHI compliance

Education

Bachelor’s Degree in Computer Science / AI / Computer Engineering

Master’s Degree preferred

Tools

Docker

Azure DevOps

LangChain

LangGraph

Semantic Kernel

Copilot Studio

Job description

Eliassen Group is seeking an experienced AI Engineer for a remote role supporting healthcare initiatives under the PACE program. You will design, test, and deploy AI-powered solutions using enterprise models and RAG pipelines, collaborating with stakeholders to translate AI capabilities into production systems.

The position requires strong Python, Azure AI, and Docker experience, with emphasis on secure cloud deployments and CI/CD. Remote, open schedule, and emphasis on quality and compliance.