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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 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 for full-stack engineers who can easily blend between building backend, UX, web, mobile, and GenAI. If you have a strong technical spike in these areas and a proven track record of crafting high-impact user experiences, we’d love to hear from you.
Job Responsibility:
Own end-to-end development of features in a cross-geo, cross-org, cross-product setup from ideation and specification to deployment and iteration
Full-stack accountability for features including elegant architecture, efficient code, appropriate RAG, exhaustive Evals to deliver secure, global products
Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture
Design and build evaluation systems that test LLM capabilities in the healthcare domain, and interpret and communicate results
Run experiments to determine how different prompting techniques affect results on internal and industry benchmarks
Collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world
Lead by example in software development best practices, leveraging AI in day to day work, influence improvements with high momentum & high quality
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
8+ years of strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C++, Java, Python, Rust, Typescript, Swift, Kotlin
Exceptional communication skills – written and verbal – to influence engg. Decisions through ambiguity, roadmaps, architectures and features - remotely
Demonstrated expertise building products at scale, with domain expertise in distributed systems/cloud infrastructure, web, mobile, GenAI
Experience with data engineering - handling text dataset sourcing, curation, and processing tasks at scale
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 or large consumer products
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