Microsoft Cloud Native Lead

Cloud.Net AI Engineer with GenAI & Agentic Systems Role Overview We are looking for an Cloud.Net AI Engineer to design, build, and deploy enterprise-grade Generative AI solutions using LLMs, agentic workflows, and modern AI orchestration frameworks that is used in Web application developed in C#.Net and Angular. Required Qualifications 8+ years of software engineering experience.

Strong backend development skills, ideally with .NET/C# and web services. Hands-on experience with GenAI, LLM workflows, AI agents, and RAG. Strong knowledge of LangChain, LangGraph, Semantic Kernel, and/or MAF. Experience integrating LLMs with enterprise applications and APIs. Experience with Azure/OpenAI services and modern cloud architectures.

Agile mindset with Azure Devops board usage for tasks and pipelines Key Responsibilities Develop AI applications powered by LLMs and RAG architectures. Build agentic and multi-agent solutions using LangChain, LangGraph, Semantic Kernel, or MAF. Design and integrate AI services with backend systems, APIs, and enterprise platforms.

Implement prompt engineering, tool/function calling, evaluation, and observability. Collaborate with architects, developers, and business stakeholders to deliver production-ready AI solutions.

Nice to Have

Multi-agent systems and MCP experience. Azure AI Foundry, Azure AI Search, vector databases. Kubernetes, Docker, and microservices. Copilot and enterprise AI solution development. Ideal Candidate A pragmatic engineer who combines strong software engineering fundamentals with hands-on experience in .Net, Azure and building scalable AI and agent-based solutions in production environments.