Ai Software Engineer/Automation

Saxon GlobalMinneapolis, MN

About The Position

Design, build, and scale our next-generation AI agents, applications, and platform capabilities. You own complex AI solutions from technical design through production operation and help establish the engineering patterns that enable teams to build with AI safely, reliably, and quickly. You combine strong software engineering fundamentals with hands-on experience using modern AI models, agent architectures, cloud infrastructure, and developer tooling. You operate with high autonomy, turn ambiguous business and technical problems into practical solutions, and make sound architectural tradeoffs. This role is expected to have an informed, opinionated perspective on how AI changes software engineering and how work gets done. You actively experiment with emerging technologies while maintaining a strong bias toward production reliability, measurable outcomes, security, maintainability, and appropriate use of AI in healthcare.

Requirements

  • Strong software engineering fundamentals.
  • Hands-on experience using modern AI models.
  • Hands-on experience using agent architectures.
  • Hands-on experience using cloud infrastructure.
  • Hands-on experience using developer tooling.
  • Ability to operate with high autonomy.
  • Ability to turn ambiguous business and technical problems into practical solutions.
  • Ability to make sound architectural tradeoffs.
  • Informed, opinionated perspective on how AI changes software engineering and how work gets done.
  • Experience with production reliability.
  • Experience with measurable outcomes.
  • Experience with security.
  • Experience with maintainability.
  • Experience with appropriate use of AI in healthcare.

Responsibilities

  • Design, build, and scale next-generation AI agents, applications, and platform capabilities.
  • Own complex AI solutions from technical design through production operation.
  • Establish engineering patterns for safe, reliable, and quick AI development.
  • Combine strong software engineering fundamentals with hands-on experience using modern AI models, agent architectures, cloud infrastructure, and developer tooling.
  • Operate with high autonomy, turning ambiguous business and technical problems into practical solutions.
  • Make sound architectural tradeoffs.
  • Actively experiment with emerging technologies.
  • Maintain a strong bias toward production reliability, measurable outcomes, security, maintainability, and appropriate use of AI in healthcare.
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