Description:

The Commercial Engineering & AI (CEAI) organization at Microsoft is hiring a Software Engineer 2 to build, prototype, and ship high-impact AI solutions. This role sits at the cutting edge of internal enterprise transformation—focusing on simplifying, automating, and "agentifying" workflows across the Microsoft sales ecosystem. You will develop production-grade features using Microsoft’s advanced AI stack, cloud-native services, and Large Language Models (LLMs). The role heavily emphasizes modern, AI-augmented engineering practices, requiring developers to orchestrate multi-step agentic workflows, build robust telemetry diagnostics, and deploy secure, responsible AI applications ready for global commercial scale.

Key Technologies:

C#, Java, Python, React, Microsoft Copilot Stack, LLMs (e.g., GPT, Claude), Agent Harnesses, LangChain, GitHub Copilot CLI, YAML, Markdown, Git, DevOps, CI/CD, Infrastructure as Code (IaC)

Requirements:

• Bachelor’s degree in Computer Science Engineering, or a closely related technical field.
• 2–5 years of professional software engineering experience with strong hands-on coding depth in languages such as C#, Java, Python, or React.
• Proven proficiency working inside modern Agent Harnesses and coding agent environments. Experience authoring Markdown specifications, Architecture Decision Records (ADRs), and YAML configurations explicitly structured as agent-consumable inputs.
• Demonstrated ability to orchestrate multi-step agentic workflows across the Software Development Life Cycle (SDLC) and audit agent-generated source code and Pull Requests (PRs) with production-grade engineering rigor.
• Strong fundamental command over complex data structures, algorithmic efficiency, object-oriented design (OOD), and the patterns of scalable cloud-native architectures.
• Experience rapidly prototyping proof-of-concepts (POCs), implementing iterative experimentation loops, and debugging, troubleshooting, and tuning live service reliability using system telemetry.