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Mid-level fullstack GenAI role, metro location, and popular title increase candidate competition.
Strong Gen AI and .NET requirements limit transferability across industries, but fullstack skills remain applicable.
Many mandatory technologies and explicit 5-8 years requirement make filtering strict.
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Design, develop, and maintain scalable full-stack applications using .NET technologies, React, and Angular.
Develop and integrate generative AI and NLP solutions using Azure Open AI, AWS Bedrock, Semantic Kernel, and frameworks like RAG and langchain.
Implement and manage APIs, CI/CD pipelines, application security, and containerization deploying AI solutions on Microsoft Azure AI and other cloud platforms.
5-8 years of relevant experience.
Expertise in .NET technologies including .NET 8, ASP.Net Core, Entity Framework Core.
Proficiency in front-end frameworks React, Angular, and Blazor.
Experience with AI platforms (Azure Open AI, AWS Bedrock), Semantic Kernel, langchain, Python, C#, Microsoft SQL Server, REST API, FastAPI, Git, Docker, Azure DevOps, and CI/CD.
Strong full-stack software engineering background with substantial expertise in .NET ecosystem and modern front-end frameworks.
Experienced in designing and integrating generative AI and NLP solutions within cloud environments, particularly Azure AI and AWS.
Skilled in building scalable, secure AI applications with hands-on experience in advanced AI frameworks (RAG, langchain) and prompt engineering.