Principal Software Engineer (AI)

TL;DR

Member of Technical Staff – Principal Software Engineer (AI): Building and optimizing AI health companion products for millions of users across Copilot and Microsoft’s consumer ecosystem with an accent on safety, reliability, and scale. Focus on translating cutting-edge AI research into transformative products and designing robust features within a large existing architecture.

Location: Hybrid in London, United Kingdom. Expectation to work from a designated Microsoft office at least four days a week if living within 25 miles of the location.

Company

hirify.global's health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing by translating cutting-edge AI research into transformative products.

What you will do

• 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.
• 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.
• 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, or GenAI.
• Experience collaborating in cross-functional teams, working through ambiguity to deliver high quality products.
• Proven ability to collaborate and contribute to a positive, inclusive work environment.

Nice to have

• Experience in healthcare technology, particularly with regulated medical devices.
• Passion for conversational AI and its deployment.
• Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams.
• Passion for learning new technologies and staying up to date with industry trends and emerging technologies in AI.
• Experience developing and improving evaluation methodologies for assessing quality of LLM-based products.

Culture & Benefits

• Work in a fast-paced, iterative environment to bring innovative technology to life.
• Collaborate with AI researchers, product managers, and designers.
• Contribute to a culture of technical excellence and continuous improvement.
• Opportunity to work with cutting-edge AI research.
• Hybrid work model with office presence expected at least four days a week (if residing within 25 miles of office).
• Inclusive work environment valuing respect, integrity, and accountability.