Remote AI Engineer — LLMs & RAG Pipelines

Eliassen Group; Santa Fe (NM); Remote; USD 125,000 - 165,000; Full time

Job summary

Eliassen Group is seeking an AI Engineer to design, build, and deploy AI-powered solutions for healthcare challenges within the PACE program. The role focuses on enterprise AI models to deliver participant context engines, RAG pipelines, and agentic workflows.

You will translate emerging AI capabilities into production-ready solutions and collaborate with stakeholders in a remote setting. The candidate should have 3+ years in AI/ML engineering, strong Python, Azure AI, and DevOps experience, and

Qualifications

• Minimum three years of hands-on AI/ML engineering experience.
• Experience designing and deploying RAG pipelines including vector databases.
• Experience building on commercial LLM APIs with prompt engineering, structured outputs, tool calling, and context management.
• 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.

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.
• Complete mandated trainings and occupational health screenings on time.
• Exercise flexibility as business needs evolve and perform other duties as assigned.

Skills

Python

Azure AI

Docker

DevOps

LangChain

LangGraph

RAG pipelines

LLM APIs

Prompt engineering

Context management

Agile/Scrum

HIPAA compliance

Education

Bachelor’s Degree in CS/AI/Engineering

Master’s degree preferred

Tools

Azure DevOps

Job description

Eliassen Group is seeking an AI Engineer to design, build, and deploy AI-powered solutions for healthcare challenges within the PACE program. The role focuses on enterprise AI models to deliver participant context engines, RAG pipelines, and agentic workflows.

You will translate emerging AI capabilities into production-ready solutions and collaborate with stakeholders in a remote setting. The candidate should have 3+ years in AI/ML engineering, strong Python, Azure AI, and DevOps experience, and