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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, popular AI/full‑stack title and mid-senior experience increase competition despite niche RAG/Azure requirements.
AI and full-stack .NET/Azure expertise moderately transferable across industries but requires platform-specific experience.
Explicit 7–10 years plus mandatory .NET, Angular, Azure, and RAG/vector DB skills makes filtering stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain AI-powered enterprise applications using .NET Core, C#, Angular, and Azure cloud services.
Build features including chatbots, AI agents, search tools, and set up Retrieval-Augmented Generation (RAG) pipelines integrating language models with external tools or databases.
Collaborate with UI Architect, Product Owner, Scrum Master, and cross-functional teams to design, deploy, and support secure, scalable cloud-native microservices and APIs on Azure.
Minimum Requirements
7-10 years of hands-on full-stack application development experience.
Strong expertise in .NET Core (ASP.NET Core 2.0+), C#, Angular 12+, and Azure Cloud services (App Services, Azure SQL, Storage Accounts).
Experience with modern AI technologies including generative AI models, chatbots, AI agents, and familiarity with vector databases like Pinecone or Milvus.
Work Experience Required: 7-10 years specifically in building enterprise-grade full-stack and AI-powered applications.
Ideal Candidate Profile
Experienced in designing and implementing scalable, secure cloud-native applications and microservices on Azure.
Proficient in integrating AI models with enterprise applications, including expertise in Retrieval-Augmented Generation (RAG) pipelines.
Able to work effectively in Agile teams with cross-functional collaboration involving product owners and architects for end-to-end application delivery.