Senior ASP.NET C# Developer GenAI ; W2

Senior ASP.NET C# Developer with GenAI Experience

Location:

Pasadena CA / Alpharetta GA / Parsippany NJ Job Summary

We are seeking a Senior ASP.NET C# Developer with hands‑on experience building and integrating Generative AI (GenAI) solutions into enterprise applications. The ideal candidate will have strong expertise in C#, ASP.NET Core, microservices, cloud technologies, and practical experience working with Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), vector databases, and AI orchestration frameworks.

• Design, develop, and maintain scalable applications using C#, ASP.NET Core, and .NET 6/7/8.
• Develop RESTful APIs and microservices for enterprise applications.
• Build and deploy production‑ready GenAI applications using LLMs such as GPT, Claude, Gemini, or Llama.
• Design and implement Retrieval‑Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Integrate AI capabilities into .NET applications using Azure OpenAI, OpenAI APIs, or other commercial/open‑source LLMs.
• Develop AI workflows, prompt orchestration, context management, and response evaluation.
• Optimize AI applications for performance, scalability, latency, and cost.
• Implement monitoring, logging, observability, and security best practices.
• Collaborate with Product, Data Science, ML Engineers, and Dev Ops teams to deliver AI‑powered solutions.
• Participate in architecture discussions, code reviews, and mentor junior developers.

• 6+ years of experience in software development using C# and ASP.NET Core.
• Strong expertise in .NET 6/7/8, ASP.NET Core, Entity Framework Core, LINQ, and Web APIs.
• Experience designing REST APIs and microservices.
• Strong knowledge of SQL Server and No
  
  SQL databases.
• Hands‑on experience integrating LLMs (OpenAI, Azure OpenAI, GPT, Claude, Gemini, Llama) into production applications.
• Experience implementing RAG architectures.
• Experience with vector databases such as Pinecone, Weaviate, Milvus, pgvector, or Chroma.
• Knowledge of embeddings, semantic search, prompt engineering, and AI evaluation techniques.
• Experience with AI orchestration frameworks such as Semantic Kernel, Lang Chain, Lang Graph, Llama Index, or Microsoft AI Foundry.
• Experience with Docker, Kubernetes, CI/CD, and cloud platforms (Azure preferred, AWS/Google Cloud Platform acceptable).
• Strong understanding of authentication, authorization, and application security.
• Excellent analytical, problem‑solving, and communication skills.