Software Engineer 2 - CoreAI
Microsoft · microsoft.com
RedmondMid level2+ yrs
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The job in short
Build developer tools and SDKs for Azure and AI agents.
PythonJavaJavaScriptTypeScriptC++C#AzureAgentic
Details
- Found
- 5 d ago · posted 2026-11-06
- Location
- Redmond, WA, US
Full description
Build and evolve tools and infrastructure for authoring, generating, validating, and maintaining high-quality Azure SDKs and client libraries. Help shape how developers and AI agents discover, understand, and interact with Azure through experiences such as Azure MCP, Azure Skills, and Azure Developer CLI. Design intuitive, consistent API and developer experiences across Azure SDK language ecosystems. Apply AI and agentic technologies to improve SDK authoring, validation, developer workflows, and the overall experience of building on Azure. Collaborate with Azure service teams to understand their needs and make it easier for them to deliver great developer and agent experiences. Use data, experimentation, and customer feedback to continuously improve Azure libraries, tools, and agent experiences. Contribute to a culture of engineering excellence, inclusion, open-source collaboration, and innovation. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: 3+ years of software engineering experience using languages such as C#, Java, Python, JavaScript/TypeScript, Go, or similar languages. Solid understanding of software design principles, API design, developer tooling, and cloud-native development. Experience building or consuming cloud services, SDKs, developer tools, or command-line tooling, especially on Azure. Familiarity with open-source development workflows such as GitHub, pull requests, issue management, and community engagement. Interest or experience in AI-assisted development, AI agents, Model Context Protocol (MCP), developer agents, code generation, or automation. Experience designing developer experiences that span APIs, SDKs, command-line tools, or agent interfaces. Communication and collaboration skills across disciplines, teams, and geographies. A self-starter mindset with the ability to prioritize and drive initiatives independently.
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