AI Engineer - LLM Features & Pipelines (Remote)

Eliassen Group; Charleston (WV); Remote; USD 124,000 - 152,000; Full time

Job summary

Eliassen Group is seeking a software engineer to join a remote, AI-enabled development pod. You will co-build LLM-powered features, integrate with the AI middleware, and collaborate with product managers, engineers, and platform teams to deliver reusable capabilities and production-ready services.

You will partner with a senior AI Solutions Architect and tackle end-to-end implementation, testing, and observability, while ensuring timely knowledge transfer and documentation for future teams.

Qualifications

• 3+ years of professional software engineering.
• Backend experience in .NET or Java with working familiarity in Python.
• Hands-on experience delivering LLM-powered features such as RAG, tool calling, prompt engineering, and structured outputs.
• Experience with Azure or comparable cloud, REST APIs, Git, and CI/CD.
• Comfortable with a modern front end such as React, Angular, or TypeScript.
• Demonstrated curiosity and ability to become productive in a new codebase and business within 6 to 8 weeks.
• Preferred: Azure OpenAI, Azure Container Apps, Terraform.
• Preferred: Vector databases and semantic search.
• Preferred: Exposure to eval frameworks, LiteLLM, Langfuse, or similar.
• Preferred: Event-driven architectures.
• Preferred: Financial systems or payments exposure.

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

Backend: .NET/Java

Python

LLM features

Azure

REST APIs

Git

CI/CD

Frontend: React

Angular

TypeScript

Learning new codebase

Azure OpenAI

Terraform

Azure Container Apps

Vector DBs

Langfuse

Tools

Azure OpenAI

Terraform

Azure Container Apps

Langfuse

Vector databases

Job description

Eliassen Group is seeking a software engineer to join a remote, AI-enabled development pod. You will co-build LLM-powered features, integrate with the AI middleware, and collaborate with product managers, engineers, and platform teams to deliver reusable capabilities and production-ready services.

You will partner with a senior AI Solutions Architect and tackle end-to-end implementation, testing, and observability, while ensuring timely knowledge transfer and documentation for future teams.