The Microsoft Store team is focused on ensuring that Windows users at home, work, and school find it easy to discover and engage with the experiences they need most and that Independent Software Vendors (ISVs) are excited to build Windows experiences because they can innovate, differentiate, and exceed their business goals on Windows. 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.
Requirements
- 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).
- Proven experience coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
Responsibilities
- 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.
- 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.
- Contribute to the development and maintenance of the Windows client application and related components used by millions of users worldwide.
- Leverage LLMs and recommendation systems to build features that make the Store smarter, faster, and more relevant for our users.
Other
- 3 days / week in-office
- Travel 0-25%
- Individual Contributor
- Full-Time
- Experience collaborating with applied science or ML research teams.
