AI Engineer

Eliassen Group; United States; Remote; USD 125,000 - 165,000; Full time

Job summary

The Eliassen Group is seeking an AI Engineer to design, test, and deploy enterprise AI solutions addressing healthcare challenges within PACE. You will build context engines, RAG pipelines, and agentic workflows using LLMs and production-grade tooling.

This full-time, remote role requires hands-on experience with Python, Azure AI services, Docker, and cloud-based DevOps, with strong collaboration across stakeholders to deliver compliant, scalable AI solutions.

Qualifications

• Minimum three years of hands-on AI/ML engineering experience.
• Experience designing and deploying RAG pipelines with vector databases and retrieval optimization.
• Experience building on commercial LLM APIs with prompt engineering and context management.
• Advanced proficiency in Python for AI applications 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/Scrum with iterative development and rapid POCs.
• Familiarity with HIPAA, PHI handling, and healthcare compliance.
• PACE programme knowledge preferred.
• Experience benchmarking LLM providers on accuracy, cost, latency and safety.
• Secondary experience with AWS AI/ML services is a plus.
• Strong organizational and communication skills with ability to work independently.

Responsibilities

• Design, build, and deploy AI-powered applications using enterprise LLMs to meet PACE requirements.
• Architect and implement RAG systems grounded in proprietary data with accuracy and compliance.
• Own the development lifecycle from ideation through 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.
• Evaluate and integrate models based on performance, cost, latency, and compliance.
• Implement AIOps and MLOps practices including monitoring and CI/CD.
• Continuously evaluate emerging AI tools and models for improvements.
• Communicate with supervisor and team on workload and priorities.

Skills

Python

RAG pipelines

Agile/Scrum

HIPAA knowledge

Communication

Education

Bachelor's degree in CS/AI/CE

Master's degree preferred

Tools

Azure DevOps

Azure AI services

Docker

LangChain

LangGraph

Copilot Studio

Semantic Kernel

Job description

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 optimisation.


• 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 programme knowledge preferred.


• Experience benchmarking LLM providers across accuracy, cost, latency and safety preferred.


• Secondary experience with AWS AI/ML services is a plus.


• Strong organisational and communication skills with ability to work independently and prioritise.


• 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.