Remote AI Engineer — LLM Features & RAG

Eliassen Group; Topeka (KS); Remote; USD 124,000 - 152,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an AI Engineer for a remote contract engagement. You will join as the second engineer in a pod, delivering LLM-powered features and reusable capabilities alongside an AI Solutions Architect and product teams.

Responsibilities include building RAG pipelines, tool-calling agents, API and backend services, and ensuring quality with automated tests and observability. You should be comfortable with .NET/Java, Python, Azure, REST, Git, and modern front-end tech.

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

LLM-powered features

Backend development

REST APIs

Azure cloud

CI/CD

Frontend (React/Angular/TypeScript)

Python familiarity

Tools

Terraform

Azure OpenAI

Azure Container Apps

Vector databases

Langfuse

LiteLLM

Job description

Eliassen Group is seeking an AI Engineer for a remote contract engagement. You will join as the second engineer in a pod, delivering LLM-powered features and reusable capabilities alongside an AI Solutions Architect and product teams.

Responsibilities include building RAG pipelines, tool-calling agents, API and backend services, and ensuring quality with automated tests and observability. You should be comfortable with .NET/Java, Python, Azure, REST, Git, and modern front-end tech.