Remote AI Engineer for Healthcare Innovation

Eliassen Group; Honolulu (HI); Remote; USD 125,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, vision plans

401(k) with match

Sick time as required by law

Job summary

Eliassen Group is seeking an AI Engineer for a fully remote, permanent role focused on building AI-powered healthcare solutions under the PACE program. You will design, test, and deploy enterprise AI models, implement RAG pipelines, and collaborate with stakeholders to deliver production-ready systems on Azure.

W2 basis with comprehensive benefits. The position requires at least three years in AI/ML engineering, Python expertise, and experience with Azure, Docker, and DevOps.

Qualifications

• 3+ years hands-on AI/ML engineering or related software roles.
• 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.
• Proficiency with DevOps and CI/CD using Azure DevOps or equivalent.
• Understanding of agentic architectures and frameworks such as LangChain, LangGraph, Semantic Kernel, or Copilot Studio.
• Experience in Agile or Scrum with iterative development and rapid POCs.
• Familiarity with HIPAA, PHI handling, and healthcare compliance preferred.
• PACE program knowledge preferred.
• Experience benchmarking LLM providers across accuracy, cost, latency, and safety preferred.
• Secondary experience with AWS AI/ML services is a plus.
• Strong organizational and communication skills with ability to work independently and prioritize.
• Experience working with people from diverse backgrounds and a commitment to serving vulnerable seniors.

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.
• Work a varied schedule that may include evenings, nights, weekends, and overtime.
• Complete required documentation accurately and on time while protecting privacy and confidentiality.
• Follow policies and procedures, participate in quality improvement, training, and meetings.
• Communicate regularly with the supervisor and team on workload and priorities.
• Complete mandated trainings and occupational health screenings on time.
• Exercise flexibility as business needs evolve and perform other duties as assigned.

Skills

Python

AI/ML engineering

RAG pipelines

LangChain

LangGraph

LLMs

APIs

DevOps

Azure

Prompt engineering

Education

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

Tools

Docker

Azure DevOps

Job description

Eliassen Group is seeking an AI Engineer for a fully remote, permanent role focused on building AI-powered healthcare solutions under the PACE program. You will design, test, and deploy enterprise AI models, implement RAG pipelines, and collaborate with stakeholders to deliver production-ready systems on Azure.

W2 basis with comprehensive benefits. The position requires at least three years in AI/ML engineering, Python expertise, and experience with Azure, Docker, and DevOps.