New 
Software Engineer II
 Microsoft | |
 United States, Washington, Redmond | |
 Nov 02, 2025 | |
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OverviewThe AI ERP Frontline team is hiring a Software Engineer II to help build the Scheduling Agent service, a key initiative aimed at automating two-thirds of field service scheduling by 2026. In this role, you'll develop and support a global-scale services stack that integrates advanced AI large language models and scheduling algorithms to automate the work schedules of thousands of frontline workers. You'll work with technologies like Kubernetes, .NET, Azure, as well as LLMs from providers like OpenAI, Anthropic and Microsoft. The services you develop will connect to Microsoft Dataverse to support a range of Dynamics products. We're looking a Software Engineer II to join our team. The role requires experience building LLM based features at scale, and using AI tools such as GitHub Copilot, Azure OpenAI, or other LLM-based development accelerators to enhance productivity, code quality, and innovation. Our mission is to digitize the frontline workforce by delivering the leading AI-powered application portfolio for managing and scheduling work. 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 Design and build robust, scalable services using C#, .NET, Kubernetes, and SQL Server, with deployment on Azure infrastructure.Integrate the latest LLM models into our products, create and maintain robust data sets and test suites for model evaluation, design and implement experiments and potentially fine-tune models to ensure we deliver high quality agent features to customers.Utilize and leverage AI-assisted development tools (e.g., GitHub Copilot, Azure OpenAI) for development and test automation.Collaborate with project managers, engineers, and researchers to gather requirements and inform AI-Agents and service design.Apply engineering best practices to ensure maintainability, performance, and reliability across services.Contribute to API design and microservice architecture, with a focus on scalable and supportable service patterns.Embrace code reviews as a learning and quality assurance tool, both giving and receiving constructive feedback.Familiarity with Microsoft Dataverse and Power Platform is a plus, though not required.Embody our culture and values | |