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Software Engineer - AI Adoption

Emerson

Salary not specified
Oct 10, 2025
Austin, TX, US
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Emerson's Test & Measurement business unit is seeking to advance AI adoption and improve internal development workflows by empowering R&D engineers worldwide with enhanced productivity and modernized engineering practices.

Requirements

  • Experience with Azure Cloud, Azure DevOps, GitHub, and modern CI/CD practices
  • AI development experience
  • Understanding of AI and LLM landscape, including tools like GitHub Copilot, ChatGPT, and similar platforms, as well as experience with RAG (Retrieval-Augmented Generation) systems, knowledge base integration, and proficiency in prompt engineering
  • Experience with chatbot development, MCP servers, and AI tool integrations
  • Strong proficiency in Python and/or experience in full stack web development

Responsibilities

  • Provide technical leadership and strategic direction for software development workflow improvements, tools, and AI integration initiatives across R&D.
  • Lead AI-assisted development initiatives including code review automation, and AI-powered development tools integration.
  • Architect and implement AI solutions for software development workflows, including internal chat enhancements, MCP server integrations, and template-based chat deployments.
  • Develop AI adoption strategies for software development efficiency
  • Collaborate with cross-functional teams to integrate AI tools into existing Azure DevOps workflows and development ecosystems.
  • Lead continuous improvement initiatives using AI for code security, automated testing, and development best practices.
  • Mentor and guide engineering teams on AI tools, modern development practices, and workflow optimization.

Other

  • 4 days in the office and 1-day remote position.
  • US Citizen or Green Card Holder
  • Strong sense of ownership
  • Works well individually. Demonstrates autonomy and independence in decision-making and problem-solving
  • Demonstrates a nimble mindset, driving rapid progress while ensuring solutions are scalable and sustainable