Software Engineer II

Microsoft · ✓ Verified company
📍 India, Multiple Locations, Multiple Locations · On-site · Full-time

About the role

Brainstorm and identify solutions for critical business and technical problems, using AI as a thought partner to accelerate ideation, weigh alternatives, and pressure-test trade-offs Be innovative in identifying solutions to the functional and non-functional requirements Use AI-assisted and agentic engineering workflows to move from idea to production faster while upholding quality, security, and reliability. Leverage AI Native Engineering practices and contribute to the Organizational Knowledge and Context for Agents to be more effective. Continuously curate this organizational knowledge so copilots and agents produce higher-quality, better-grounded results for the whole team. Analyze events and telemetry from multiple sources and resolve issues in small term and identify patterns for long term solutions, and apply AI/ML for anomaly detection and faster root-cause analysis Partner with peer teams in leveraging and extending the services and experiences for bigger and broader impact Design, build, and integrate AI-powered capabilities—copilots, agents, and generative AI features—into our products, applying prompt engineering, grounding, and retrieval-augmented generation (RAG) to deliver reliable, high-quality outcomes. Champion Responsible AI: use systematic evaluations (evals) to measure quality, and ensure solutions are safe, secure, grounded, and trustworthy. Good development experience using Azure resources and services Good exposure to VSO, Git and modern engineering practices Well versed with Agile development methodology Hands-on experience or exposure to React and/or other JavaScript Frameworks would be a plus Ability to create insights from App Insights and Kusto Hands-on experience using AI-assisted development tools (such as GitHub Copilot and coding agents) and ‘vibe coding' to design, write, test, and review code is a important. Exposure to AI Native Engineering—building with large language models (LLMs), agent frameworks, prompt engineering, and retrieval-augmented generation (RAG) is strongly preferred Familiarity with the Azure AI platform (such as Azure OpenAI Service and Azure AI Foundry) is a plus Working knowledge of Responsible AI principles and AI evaluation practices is a plus Good verbal and written communication skills. 4+ years of relevant work experience