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# Sr AI Engineer

- **Company:** EITAcies, Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, C Sharp (Programming Language), Cloud Computing, Code Coverage, Code Generation, Code Review, Databases, Continuous Integration, Software Debugging, Programming Tools, Python (Programming Language), Software Engineering, TypeScript, Generative AI, Agentic-AI, Information Technology, Code Restructuring, Legacy Systems, Golang
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/16_934ebb39

## About the Role

Strong programming in one or more: Java, Python, JavaScript/TypeScript, Go, C#

 * Solid computer science and software engineering fundamentals
 * Experience with APIs, databases, cloud platforms, CI/CD and testing frameworks
 * Hands-on experience with GenAI coding tools
 * Ability to evaluate and improve AI-generated outputs
 * Strong focus on secure, scalable and maintainable code

Preferred Skills
*
Experience with agentic AI tools

 * Legacy system modernization experience
 * Cloud-native development
 * Experience in regulated environments (Finance, Healthcare, etc.)
*
Experience measuring productivity improvements using AI

## Description

We are looking for a strong Software Engineer with hands-on experience leveraging GenAI and agentic development tools to enhance the software development lifecycle.

This role focuses on building high-quality applications while using AI as a force multiplier across coding, testing, debugging, documentation and modernization.

Key Responsibilities

 * Design, develop, test and maintain software applications
 * Leverage GenAI tools for coding, testing, debugging and documentation
 * Create effective prompts and workflows for AI agents
 * Review and validate AI-generated code for quality, security and performance
 * Generate and improve test coverage (unit, integration, regression)
 * Refactor and modernize legacy systems using AI-assisted approaches
 * Participate in architecture, design discussions and code reviews
 * Drive adoption of AI-enabled engineering practices