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AI Software Engineer

Date Posted: Jun 8, 2025

Job #1681667
Contract
Austin, Texas, United States

Job Title: AI Software Engineer (Full Stack) 
Location: Remote (U.S.-based)
Job Type: Interim to Hire


Position Overview:

We are seeking a highly skilled and innovative AI Software Engineer to join our dynamic AI Enablement team. This is a 100% remote, interim-to-hire opportunity for a Full Stack Engineer who has transitioned into AI and is passionate about solving real-world business challenges using cutting-edge technologies.

You’ll work across three AI domains:

  • Enterprise AI (e.g., Copilot, ChatGPT)
  • Embedded AI (integrated AI features)
  • Custom AI Solutions (e.g., contract analysis tools)

You’ll collaborate with cross-functional teams including an AI Enablement Consultant and a Senior Scrum Master, and contribute to building scalable AI-powered applications.


Key Responsibilities:

  • Design, develop, and deploy AI-driven full stack applications using modern frameworks and cloud platforms.
  • Collaborate with stakeholders to identify business challenges and implement AI solutions that drive measurable impact.
  • Integrate tools such as Azure AIPower PlatformEnterprise ChatGPT, and Copilot into enterprise systems.
  • Present technical solutions and AI use cases to both technical and non-technical audiences.

Must-Have Qualifications:

  • Proven experience as a Full Stack Software Engineer with a language-agnostic mindset.
  • Demonstrated transition into AI, with specific examples of AI implementations that solved business problems.
  • Strong experience with cloud platforms (preferably Azure) and AI services.
  • Excellent communication and presentation skills; able to work independently and drive initiatives.
  • Experience with tools such as Power PlatformCopilot, and ChatGPT in enterprise settings.

Nice-to-Haves:

  • Experience working in Agile environments with Scrum methodologies.
  • Familiarity with AI governance, ethics, and responsible AI practices.
  • Prior collaboration with consulting firms or enterprise-level clients.

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