Software Engineer II

Microsoft Microsoft · Big Tech · Hyderabad, TS, IN · Software Engineering

Software Engineer II role in Microsoft's Commercial Engineering & AI organization, focusing on building AI solutions for business value. Responsibilities include designing, developing, and maintaining software applications using AI, LLMs, and cloud-native technologies. The role emphasizes understanding business processes, prototyping, shipping scalable features, integrating systems, debugging, and building secure AI solutions.

What you'd actually do

  1. Understand end-to-end business processes, workflows, and data flows across the Microsoft sales ecosystem, and identify opportunities to simplify, automate, and agentify those experiences.
  2. Rapidly prototype and deliver POCs and iterate on solutions using an experimentation-driven engineering approach.
  3. Design, build, and ship scalable, production-quality features and intelligent services using modern engineering practices.
  4. Collaborate across teams to integrate systems, data, and signals into cohesive AI-powered workflows.
  5. Build secure, compliant, and responsible AI solutions ready for production scale.

Skills

Required

  • C#
  • Java
  • Python
  • React
  • AI-native development
  • Agent Harnesses
  • authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs
  • orchestrating multi-step Agentic workflows across the SDLC
  • reviewing Agent-generated code and PRs with production-grade rigor
  • data structures
  • algorithms
  • object-oriented design
  • scalable systems
  • building, testing, debugging, and maintaining production-quality software
  • leveraging large language models (LLMs)
  • problem-solving
  • technical judgment
  • design scoped solutions
  • debug complex issues
  • improve service performance
  • communication
  • collaboration

Nice to have

  • AI/ML frameworks
  • LLMs
  • Copilot technologies
  • multiple programming languages
  • development frameworks
  • DevOps practices
  • CI/CD pipelines
  • Infrastructure as Code
  • Git
  • Claude
  • GitHub Copilot for code generation
  • security
  • compliance
  • Responsible AI principles
  • agile
  • cross-functional teams
  • innovation
  • fast-paced environment

What the JD emphasized

  • AI-native development
  • Agent Harnesses
  • authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs
  • orchestrating multi-step Agentic workflows
  • reviewing Agent-generated code and PRs with production-grade rigor

Other signals

  • AI-native development
  • Agentic workflows
  • LLMs
  • Copilot