AI Engineer

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

AI Engineer

Anywhere

Type: Permanent

Category: Engineer

Industry: Healthcare

Workplace Type: Remote

Standard Hours: Open

Reference ID: JN -092026-108807

Date Posted: 09/28/2026

Shortcut: http://careers.eliassen.com/4D2bNt

Description:

Remote

Our client seeks an AI Engineer to build, test, and deploy AI-powered solutions that address healthcare challenges within the PACE program. The role focuses on leveraging enterprise AI models to deliver applications such as participant context engines, RAG pipelines, and agentic workflows. The AI Engineer will translate emerging AI capabilities into production-ready solutions, collaborate with stakeholders, and support team culture and mission.

This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.

Salary: $125,000 - $165,000/ yr. w2

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 frameworks such as 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.

Experience Requirements:

• Minimum three years of hands‑on experience in AI/ML engineering, applied AI development, or software engineering with an AI focus.
• Demonstrated experience designing and deploying RAG pipelines including 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.

Education Requirements:

• Bachelor’s Degree in Computer Science, AI, Computer Engineering, or a related field required. Master’s Degree preferred.

Benefits:

• W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and ... all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.