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# AI Software Engineer

- **Company:** Insight Global
- **Location:** Nashville, TN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600.0 - $153,920.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, ARM Architecture, Continuous Integration, Information Engineering, DevOps, Spring Framework, Systems Development Life Cycle, Next.js, Software Engineering, ReactJS, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Git, Containerization, Git Flow, Virtual Agents, GPT, Jenkins
- **Published:** August 26, 2026
- **Apply:** https://www.juju.com/job/00000000gp5vkz

## About the Role

* 7+ years as a Software Engineer

 * Strong background in Java, React, NextJS, and Spring

 * Hands-on experience with LLMs, AI-driven development, prompt engineering, or agent

frameworks

 * Familiarity with Snowflake (Cortex/Coco experience is a plus, not required)

 * Experience with CI/CD pipelines, Git-based workflows, and DevOps collaboration

 * Strong communication skills and ability to validate AI-generated code and logic * Healthcare or value-based care domain knowledge

 * Experience deploying applications inside Snowflake or similar secure containerized environments

 * Prior work with Anthropic, OpenAI, or other enterprise LLM platforms

## Description

The AI Engineer is a senior-leaning software engineer responsible for building, enhancing, and

supporting AI-driven applications within Snowflake's ecosystem. This role blends modern

application development with LLM-based workflows, agent creation, and SDLC modernization. This a remote position that is a 6-month contract-to-hire. We're targeting an hourly rate of $70-74/HR.

Key Responsibilities

 * Design, build, and maintain React/NextJS applications deployed inside Snowflake containers

 * Develop and refine AI agents, prompts, and workflows using Cortex/Cocoa or equivalent LLM

frameworks

 * Support and enhance existing Coco applications and feature agents

 * Improve SDLC processes, CI/CD pipelines, and DevOps workflows (Git, Jenkins, etc.)

 * Collaborate with data engineering, QA, and integration teams to deliver high-quality AI-enabled


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