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Software Engineer II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, AI, Large Language Models, Kubernetes, .NET, Azure, Scheduling Algorithms, GitHub Copilot, Azure OpenAI, Dynamics Products, Microsoft Dataverse

Industry

Software Development

Description

The 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

Develop and support a global-scale services stack that integrates advanced AI large language models and scheduling algorithms. Automate the work schedules of thousands of frontline workers.