3 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Translate product specifications into AI service architectures, agent workflows, data-source integrations, and scalable service designs.
- Build multi-agent AI workflows with Azure AI Foundry Agent Service and Microsoft Agent Framework, including tool integrations and agent lifecycle management.
- Develop LLM-based solutions involving prompt engineering, model selection, cost and token optimization, and RAG pipeline design.
- Build evaluation systems using rubrics, golden datasets, and judge agents to validate agent correctness and safety.
- Write production-quality C# and Python and develop services with testing, reliability, performance, and security standards.
- Deploy services through CI/CD pipelines, feature flags, staged rollouts, and production observability using tracing, logging, and metrics.
- Implement secure service patterns with RBAC, Managed Identities, and secrets management.
- Integrate agents with Azure data sources and cloud-native services and own the end-to-end lifecycle through incident response.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 3 years of software engineering experience using C# and/or Python, including production deployment experience.
- Experience building or integrating LLM-based systems through prompt engineering, RAG, or agent frameworks.
- Familiarity with Azure services such as Azure OpenAI, Azure AI Foundry, Azure Functions, and Cosmos DB.
- Experience with CI/CD pipelines, automated testing, and production observability.
- Understanding of data structures, algorithms, and system design fundamentals.
- Preferred qualifications include a bachelor’s or master’s degree in Computer Science, AI, or a related field; multi-agent orchestration; agent-to-agent communication protocols; AI evaluation frameworks; RAG and vector retrieval; container orchestration; microservices; cloud-native deployment; and security practices including RBAC, Managed Identities, and secrets management.
- Ability to work in Agile or sprint-based delivery with cross-organizational dependencies and collaborate in a fast-paced environment.
Benefits
- Opportunity to build AI services that directly impact millions of Azure customers worldwide.
- Work on agentic AI, LLM orchestration, and multi-agent systems.
- Collaborative and inclusive work culture centered on a growth mindset.
- Continuous learning and career development in applied AI engineering.
- Access to Azure AI technologies and global-impact projects.
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.