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At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys. We’re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting-edge research—like MAI-DxO—into transformative products for millions of users across copilot.com and Microsoft’s consumer ecosystem. We’re looking for engineers who are self-starters, care deeply about user experience, and take pride in solving real customer needs. You’ll collaborate in a fast-paced, iterative environment to bring innovative technology to life, with safety, reliability, and scale front and centre. We’re hiring across multiple domains: backend, web, mobile, and GenAI. If you have a strong technical spike in one or more of these areas and a proven track record of crafting high-impact user experiences, we’d love to hear from you.
Job Responsibility:
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
Requirements:
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
Nice to have:
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