Remote AI Engineer for LLM-Powered Features (Contract)

Eliassen Group; Carson City (NV); Remote; USD 124,000 - 152,000; Part 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 to join a remote, contract-based role in the United States. You will be the second engineer in a two-person enablement pod, working with product managers, engineers, and the AI platform team to build reusable AI capabilities.

Target candidates have 3+ years of experience delivering LLM-powered features, with strong backend skills (.NET/Java) and Python familiarity, plus Azure cloud experience.

Qualifications

• 3+ years of professional software engineering.
• Backend experience in .NET or Java with Python familiarity.
• Hands-on experience delivering LLM-powered features such as RAG and tool calling.
• Experience with Azure or comparable cloud, REST APIs, Git, and CI/CD.
• Comfortable with modern frontend frameworks like React or TypeScript.
• Ability to quickly become productive in a new codebase (6–8 weeks).

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

RAG pipelines

Tool calling

Prompt engineering

Tools

Azure

REST APIs

Git

CI/CD

React

TypeScript

Job description

Eliassen Group is seeking an AI Engineer to join a remote, contract-based role in the United States. You will be the second engineer in a two-person enablement pod, working with product managers, engineers, and the AI platform team to build reusable AI capabilities.

Target candidates have 3+ years of experience delivering LLM-powered features, with strong backend skills (.NET/Java) and Python familiarity, plus Azure cloud experience.