Remote AI Engineer — LLM Features & RAG Pipelines

Eliassen Group; Montgomery (AL); Remote; USD 124,000 - 152,000; Full time

Job summary

Eliassen Group is seeking a software engineer to help modernize platforms with AI-native capabilities. You will be the second engineer in a pod, embedded with solution teams to co-build LLM-powered features and transfer knowledge.

You will partner with a senior AI Solutions Architect and collaborate with product managers, engineers, and the AI platform team to deliver reusable capabilities, reliable evaluations, and production-ready services.

Qualifications

• 3+ years of professional software engineering.
• Backend experience in .NET or Java with Python familiarity.
• Hands-on experience delivering LLM-powered features (RAG, tool-calling, prompts).
• Experience with Azure or comparable cloud, REST APIs, Git, and CI/CD.
• Comfortable with modern frontend such as React, Angular, or TypeScript.

Responsibilities

• Build and ship LLM-powered features including RAG pipelines, tool-calling agents, multi-step workflows, and prompt frameworks.
• Integrate solutions with the AI middleware platform and contribute reusable capabilities.
• Implement evaluation and testing for AI outputs including test sets, automated checks, regression detection, and quality gates.
• Develop APIs, backend services, integrations, and UI components required for AI features.
• Add observability, logging, and cost tracking to deployed AI systems and remediate issues.
• Pair with solution team engineers to enable independent execution of AI feature development.
• Document designs, decisions, and lessons to accelerate future teams.

Skills

LLM features

Backend engineering

Python

Azure

REST APIs

Git

CI/CD

Frontend (React/Angular/TypeScript)

Tools

Azure OpenAI

Job description

Eliassen Group is seeking a software engineer to help modernize platforms with AI-native capabilities. You will be the second engineer in a pod, embedded with solution teams to co-build LLM-powered features and transfer knowledge.

You will partner with a senior AI Solutions Architect and collaborate with product managers, engineers, and the AI platform team to deliver reusable capabilities, reliable evaluations, and production-ready services.