Remote AI Engineer - Build LLM Features & RAG Pipelines

Eliassen Group; Des Moines (IA); Remote; USD 124,000 - 152,000; Full time

Benefits offered by this job

Medical plans

401(k) with match

Sick time

Job summary

Eliassen Group in Des Moines, IA, is seeking an experienced software engineer to join a remote-enabled pod focused on AI-native capabilities. You will co-build production-ready LLM-powered features with senior architects and product teams and contribute reusable AI components.

Responsibilities include building RAG pipelines, integrating with the AI platform, and evaluating AI outputs with automated checks. Expect collaboration across backend, frontend, and cloud teams.

Qualifications

• 3+ years of professional software engineering experience.
• Experience delivering LLM-powered features such as RAG, tool calling, and structured outputs.
• Experience with Azure or comparable cloud, REST APIs, Git, and CI/CD.

Responsibilities

• Build and ship LLM-powered features including RAG pipelines and tool-calling agents.
• Integrate solutions with the AI middleware platform and contribute reusable capabilities.
• Implement evaluation and testing for AI outputs and quality gates.
• Develop APIs, backend services, integrations, and UI components for AI features.
• Add observability, logging, and cost tracking to deployed AI systems.
• Pair with solution team engineers to enable independent feature development.
• Document designs, decisions, and lessons to accelerate future teams.

Skills

Backend .NET/Java

Python familiarity

LLM features

Azure cloud

REST APIs

Git CI/CD

Frontend TS/React/Angular

Tools

Azure OpenAI

Terraform

Langfuse

LiteLLM

Job description

Eliassen Group in Des Moines, IA, is seeking an experienced software engineer to join a remote-enabled pod focused on AI-native capabilities. You will co-build production-ready LLM-powered features with senior architects and product teams and contribute reusable AI components.

Responsibilities include building RAG pipelines, integrating with the AI platform, and evaluating AI outputs with automated checks. Expect collaboration across backend, frontend, and cloud teams.