Software Engineer II- Office AI Team

Microsoft•Redmond, WA

About The Position

Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential in the productivity space? Do you like working in a dynamic, fast-paced environment where you can quickly integrate new large language models into a product to evaluate its capabilities for meeting customer needs, pivot from incubation to production-path, and gain insights rapidly from experiments and evaluations to determine the path forward? Microsoft 365 is where the world works, learns, and creates. Join the Office AI team to reimagine Word, Excel, PowerPoint, and OneNote, turning intents into outcomes and helping hundreds of millions be more productive every day. Office AI plays a pivotal role in shaping the future of Office, through empowering users to interact with and change their content through natural language, making Copilot more intelligent, proactive and seamlessly integrated into users’ workflows, as well as enabling agentic workflows to interact with Office files. As a Software Engineer II, you’ll: Turn ideas into reality: Collaborate with experienced engineers and scientists to design, prototype, and deliver AI-powered and agentic solutions that make Office apps smarter and more intuitive. Accelerate your growth in product engineering: Leverage AI in your daily work and processes, learning from industry leaders while applying your knowledge of LLMs and software engineering to real-world challenges and improve the Office product. Make an impact: See your work ship to production and help hundreds of millions of users be more productive every day. Work in a dynamic, supportive team: Partner with product managers, designers, applied scientists, and other engineers in a fast-paced environment where your contributions matter. This opportunity will allow you to work in an exciting and fast-paced environment in a product team to ship products globally, collaborating closely across engineering, product management, design, and applied science to deliver experiences to production. You will be part of delivering world class solutions, leading with AI-forward and AI-first solutions! Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Bring your growth mindset to innovate in way that empowers 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.

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years experience in coding in Python, Typescript, C#, Java or C++
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Nice To Haves

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ year(s) experience in experience in coding in Python, Typescript, C#, Java or C++. OR equivalent experience.
2+ years experience developing and deploying live production systems as part of a product team.
1+ years working with large language models (LLMs) in shipping scenarios
Demonstrated proficiency leveraging the latest in AI/agentic coding tools, both through work experience and hackathons or personal projects.
Ability to quickly ramp up on new technologies and adapt to rapidly changing requirements and technical landscape
AI Fluency: Knowledgeable about emerging AI capabilities and tooling; adept at leveraging AI-powered solutions to accelerate development, automate repetitive tasks, and streamline code refactoring.
Full stack experience (UX, middle tier, backend)
Hybrid work skills – clear synchronous and asynchronous communication, teamwork and collaboration skills
Experience developing task specific metrics and evaluation datasets
Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.

Responsibilities

Ship features with Product Management, Design, Science and Engineering. Coown scenario goals; translate product requirements into engineering work and solutions that meet quality/latency/cost targets.
Prompting and evaluation of LLMs to deliver on customer scenarios. Leverage AI tools to improve engineering development and processes.
Debug and investigate customer feedback and production usage and fundamentals of features developed.
Collaborate across engineering for code reviewing pull requests, reviewing design documents and techniques.

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