Remote AI Engineer - Healthcare LLMs & RAG Pipelines

Eliassen Group; San Juan (PR); Remote; USD 125,000 - 165,000; Full time

Benefits offered by this job

Medical benefits

Dental and vision

401(k) with match

Sick time

Job summary

Eliassen Group is seeking an AI Engineer for remote work addressing healthcare challenges under the PACE program. The role emphasizes enterprise AI models, RAG pipelines, and agentic workflows, with production-grade delivery from design to deployment.

Collaboration with stakeholders and adherence to privacy are key. The position requires at least three years in AI/ML engineering, Python expertise, and Azure/Docker experience, with a strong focus on HIPAA compliance and secure cloud practices.

Qualifications

• Bachelor’s degree in CS, AI, CE, or related field required; Master’s preferred.
• Minimum three years in AI/ML engineering or related field with an AI focus.
• Experience designing and deploying RAG pipelines with vector databases and retrieval optimization.

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 to 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, with secure configurations.
• Evaluate and integrate models based on performance, cost, latency, and compliance.

Skills

Python

AI/ML engineering

RAG pipelines

LangChain / LangGraph

Azure

DevOps / CI/CD

Communication

Agile / Scrum

Education

Bachelor’s Degree in Computer Science or related field

Master’s Degree preferred

Tools

Docker

Azure DevOps

LangChain

Job description

Eliassen Group is seeking an AI Engineer for remote work addressing healthcare challenges under the PACE program. The role emphasizes enterprise AI models, RAG pipelines, and agentic workflows, with production-grade delivery from design to deployment.

Collaboration with stakeholders and adherence to privacy are key. The position requires at least three years in AI/ML engineering, Python expertise, and Azure/Docker experience, with a strong focus on HIPAA compliance and secure cloud practices.