1 day ago
Hyderābād, IndiaMid Level
Responsibilities
- Design, develop, test, deploy, and support scalable software services and AI-powered applications.
- Build copilots, intelligent agents, and workflow automation using large language models and agentic AI frameworks.
- Develop reusable APIs, services, libraries, and platform components for enterprise AI scenarios.
- Implement RAG, semantic search, embeddings, tool calling, memory, and multi-agent workflows.
- Integrate AI capabilities with enterprise systems, operational processes, and structured and unstructured data sources.
- Create automated evaluations covering accuracy, groundedness, relevance, safety, latency, reliability, and cost.
- Write clean, maintainable, secure, accessible, and well-tested production code.
- Participate in architecture reviews, code reviews, incident response, troubleshooting, and operational improvements.
- Apply security, privacy, compliance, accessibility, and responsible-AI requirements throughout the engineering lifecycle.
- Use AI-assisted development tools while maintaining accountability for code quality.
Requirements
- Bachelor’s degree in computer science or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- Coding experience in one or more languages including C, C++, C#, Java, JavaScript, or Python.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud background check.
- Preferred proficiency in C#, Python, Java, JavaScript, or TypeScript.
- Preferred experience designing and developing cloud applications, APIs, distributed services, or enterprise platforms.
- Preferred knowledge of object-oriented design, data structures, algorithms, design patterns, and system-design fundamentals.
- Preferred practical knowledge of generative AI concepts including LLMs, prompt engineering, embeddings, RAG, and intelligent agents.
- Preferred experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, AutoGen, or similar technologies.
- Preferred experience delivering production copilots, AI agents, RAG systems, or intelligent automation.
- Preferred knowledge of model and agent evaluation, responsible AI, prompt-injection protection, content safety, and AI red teaming.
- Preferred experience with Azure AI Search, AKS, App Service, Functions, Cosmos DB, Microsoft Fabric, or Azure Monitor.
- Preferred familiarity with containers, Kubernetes, infrastructure as code, and managed-identity security patterns.
- Preferred experience with microservices, event-driven architectures, distributed systems, caching, and performance optimization.
- Preferred familiarity with MLOps, LLMOps, experimentation, telemetry, and AI lifecycle management.
- Preferred experience with supply-chain, ERP, SAP, or other large-scale enterprise systems.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.