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Microsoft Software Engineer II Core AI 
Taiwan, Taoyuan City 
607879267

17.07.2025

In this role, you will help define the future of software and application development. You will shape how developers interact with our

platform—from programming models and user experiences to the design of a managed, distributed runtime that orchestrates agent-based AI applications at scale with enterprise-grade guarantees. You’ll work at the cutting edge of AI research, collaborating with some of the brightest minds in generative AI, and integrating the latest breakthroughs in multi-modal capabilities (text, audio, video) into real-world agentic applications.

Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 2+ years of experience designing, building, and operating production-grade software and services at scale, with a proven track record of delivering high-impact solutions.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Demonstrated expertise in solving complex technical challenges in one or more domains such as distributed systems, AI/ML infrastructure, developer platforms, or cloud services.


Responsibilities

Drive Strategic Clarity: Leverage data-driven insights and competitive intelligence to inform product direction, identify opportunities, and guide decision-making.


Architect for Scale and Sustainability: Design and evolve durable, scalable system architectures that balance long-term maintainability with short-term delivery needs, making thoughtful engineering trade-offs.

: Drive operational excellence in managing and operating large-scale distributed systems with a high bar for service-level agreements (SLAs). Lead root cause analyses (RCAs) for key live site incidents and outages, identify systemic improvements, and set high standards for reliability and performance.