Sr AI Engineer

Eitacies Inc

  • Austin, TX
  • 15 days ago
  • Full-time

Highlights

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.

Numbers & Facts

LocationAustin, TX
Job TypeFull-time

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

Required Skills

  • 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



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