Remote LLM Engineer — Build AI-powered Features

Eliassen Group; Sacramento (CA); Remote; USD 124,000 - 152,000; Full time

Job summary

Eliassen Group is seeking a software engineer to join a two-person enablement pod, embedding with solution teams to co-build AI-powered features and transfer knowledge. You will work with a senior AI Solutions Architect, PMs, engineers, and the AI platform team to deliver reusable capabilities and production-ready services.

Remote-friendly role with W2 hourly pay in the $90.00–$110.00/hr range. The position emphasizes rapid ramp-up (6–8 weeks) and strong cloud/API tooling experience across

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 frontend 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 features

Backend development

.NET/Java

Python

REST APIs

Git

CI/CD

Azure cloud

React/Angular/TypeScript

Learning fast

Tools

Azure OpenAI

Terraform

Azure Container Apps

Vector databases

LiteLLM

Langfuse

Job description

Eliassen Group is seeking a software engineer to join a two-person enablement pod, embedding with solution teams to co-build AI-powered features and transfer knowledge. You will work with a senior AI Solutions Architect, PMs, engineers, and the AI platform team to deliver reusable capabilities and production-ready services.

Remote-friendly role with W2 hourly pay in the $90.00–$110.00/hr range. The position emphasizes rapid ramp-up (6–8 weeks) and strong cloud/API tooling experience across