Microsoft Store team is looking to ensure that Windows users can easily discover and engage with the experiences they need most, and that Independent Software Vendors (ISVs) can innovate, differentiate, and exceed their business goals on Windows
Requirements
- 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 4+ years of experience in Windows application development technologies and frameworks such as UWP, WinUI3, WPF or Win32, MVVM
- 2+ years experience of at least one AI orchestration framework (e.g., LangChain, Semantic Kernel, LlamaIndex)
- 5+ years technical engineering experience with coding in languages including, but not limited to C, C++, C-Sharp, Java, JavaScript, or Python
- Experience building intelligent features using LLMs, recommendation systems, or personalization frameworks
- Deep understanding of the Windows app ecosystem
- Experience collaborating with applied science or ML research teams
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
- Implement, test, and optimize features, ensuring low latency and high performance in AI-driven scenarios
- Applies deep subject-matter expertise to influence cross-team planning and execution, aligning engineering efforts with product vision and accelerating delivery through fast iteration and experimentation
- Acts as a Designated Responsible Individual (DRI), ensuring reliability and performance of Store client experiences, while mentoring engineers across the team and driving operational excellence
- Proactively explores emerging technologies and patterns to improve availability, efficiency, and observability of the Store client, sharing insights and fostering a culture of continuous learning and innovation
- Stay current with advancements in LLM capabilities, retrieval/ranking systems, and recommendation models—and proactively identify where they can be applied
Other
- Bachelor's Degree in Computer Science or related technical field
- Travel 0-25%
- Work site: 3 days/week in-office
- Ability to work with teams which are globally distributed across time zones
- Demonstrated ability to operate with a strategic, entrepreneurial mindset, thriving in fast-paced environments that embrace experimentation and rapid iteration
