Senior Applied Scientist AI Engineer

Overview

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 (microsoft.ai/new/the-path-to-medical-superintelligence)—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.

This role is Hyderabad-based, and requires 4 days/week from office – this is not a flexible requirement. We encourage you to review this before applying.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• 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.
  
  

Qualifications

Required Qualifications:

• Bachelors 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.
  
  

Preferred Qualifications

• 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.
  
  

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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