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Microsoft Member Technical Staff Software Engineer Taiwan, Taoyuan City 267347509
17.07.2025
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Job Description
Responsibilities
- Collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world.
- Own the end-to-end development of features, from ideation and specification through to deployment and iteration.
- Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture.
- Work independently across a wide range of our stack, shipping delightful user experiences.
- Ensure resilience, maintainability, and security above all else.
- Build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement.
Required Qualifications:
- Bachelor's or Higher Degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C , Java, Python, Rust, Typescript, Swift, Kotlin.
- Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, GenAI.
- Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products.
- Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Preferred qualifications:
- Experience in healthcare technology, particularly with regulated medical devices.
- Passionate about conversational AI and its deployment.
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies and patterns in AI.
- Experience developing and improving evaluation methodologies for assessing quality of LLM-based products.
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