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# Sr AI Engineer

- **Company:** EITAcies, Inc.
- **Location:** Austin, 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 Review, Databases, Continuous Integration, Software Debugging, Programming Tools, Python (Programming Language), Software Engineering, TypeScript, Generative AI, Information Technology, Virtual Agents, Code Restructuring, Golang
- **Published:** August 6, 2026
- **Apply:** https://www.wayup.com/i-j-Sr-AI-Engineer-Eitacies-Inc-454743270055668/

## 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

Sr AI Engineer Location: Onsite - San Francisco, CA / Dallas, TX / Austin, TX
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


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