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Niche senior LLM specialization, non-metro location, and smaller employer reduce candidate competition.
Specialized LLM, RAG, and enterprise .NET integration make candidate backgrounds less transferable across industries.
Extensive mandatory AI, LLM, .NET, cloud, and production experience requirements create strict shortlisting.
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Design, develop, and deploy AI-powered applications including AI agents, document intelligence, OCR, enterprise search, and workflow automation using Microsoft technology stack and cloud platforms.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines and AI-based enterprise search solutions.
Integrate AI capabilities into existing business applications and collaborate with teams to deliver AI-driven solutions.
Strong experience with C# and .NET Core / .NET 6+ for backend and scalable API development.
Hands-on experience building production AI applications using modern LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, etc.) and AI orchestration.
Experience with cloud platforms such as Azure, AWS, or Google Cloud and familiarity with Docker, Git, and CI/CD pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Has successfully delivered solutions involving AI agents, RAG systems, enterprise search, document intelligence, OCR, and workflow automation.
Strong background in integrating AI into business applications and deploying open-source or self-hosted LLMs.
Experienced in modern web frameworks (Angular, React) and scalable AI infrastructure like Kubernetes.