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As a Software Engineer in the Microsoft Store on Windows client app team, you will contribute to the development and maintenance of the Windows client application and related components used by millions of users worldwide. You’ll be working on delivering a performant and fluid experience that delights customers and enables them to discover and install the apps, games, and content that matter most to them as quickly and easily as possible.
In this role, you will deepen your understanding of app development and the Windows UI stack, while working on high-impact areas such as performance, personalization, and intelligent discovery in the Microsoft Store experience. You will have the chance to leverage LLMs and recommendation systems to build features that make the Store smarter, faster, and more relevant for our users. You’ll grow your engineering skills through hands-on contributions to critical platform components and accelerate your career growth by collaborating with experienced engineers, applied scientists, and data experts to ship AI-powered, high-quality software at scale.
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
- Partner closely with project management, applied science, data, and design teams to define opportunities where artificial intelligence (AI) and large language models (LLMs) can improve user experience.
- Participate in experiment design and execution to evaluate model performance, feature impact, and customer satisfaction.
- Break down complex initiatives into actionable engineering tasks with realistic delivery estimates.
- Implement, test, and optimize features, ensuring low latency and high performance in AI-driven scenarios.
- Stay current with advancements in LLM capabilities, retrieval/ranking systems, and recommendation models—and proactively identify where they can be applied.
- Communicate complex technical and experimental findings clearly to both technical and non-technical stakeholders.
- Ensure AI and data usage complies with responsible AI and privacy principles.
Required Qualifications:
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience in application development for Windows or other platforms.
- Experience with conversational memory systems and agentic AI concepts.
- Familiarity with at least one AI orchestration framework (e.g., LangChain, Semantic Kernel, MCP).
- Experience integrating AI models into applications via APIs or SDKs.
- Experience with LLM-based agent systems or recommendation systems (retrieval, ranking, personalization).
- Experience collaborating with applied science or ML research teams.
- Solid analytical skills and ability to interpret experiment results.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until October 25, 2025.
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Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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