NET Full Stack Developer - Agentic AI

We are looking for a highly skilled Senior .NET Full Stack Developer with strong experience in modern web application development and Agentic AI solutions. The ideal candidate will have hands-on expertise in .NET technologies, AI agent frameworks, RAG architectures, MCP (Model Context Protocol), and Large Language Model integrations to build next-generation AI-powered enterprise applications.

Key Responsibilities

• Design, develop, and maintain scalable web applications using .NET 8/.NET Core and modern front-end frameworks.
• Build AI-powered applications using Agentic AI frameworks and multi-agent architectures.
• Develop REST APIs, GraphQL services, and microservices-based solutions.
• Design and implement RAG solutions using vector databases and enterprise knowledge sources.
• Integrate OpenAI, Azure OpenAI, Claude, Gemini, and other LLM services.
• Develop MCP (Model Context Protocol) servers and clients for AI agent communication and tool integration.
• Implement prompt engineering, context management, guardrails, and AI monitoring.
• Collaborate with cross-functional teams to deliver innovative AI-driven business solutions.
• Ensure application performance, scalability, security, and reliability.

Required Skills
.NET Full Stack

• Strong experience with C#, .NET 8/.NET Core, and ASP.NET Core Web API.
• Hands-on experience with Angular, React, or Blazor.
• Expertise in Entity Framework Core, LINQ, and SQL Server.
• Strong understanding of REST APIs, GraphQL, and Microservices Architecture.

Agentic AI

• Experience building AI Agents using Semantic Kernel, LangChain, AutoGen, CrewAI, or similar frameworks.
• Experience with Multi-Agent Systems and Agent Orchestration.
• Strong knowledge of Prompt Engineering and Context Management.
• Hands-on experience with RAG (Retrieval-Augmented Generation).
• Experience working with Vector Databases such as Azure AI Search, Pinecone, ChromaDB, or Weaviate.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or similar LLMs.
• Knowledge of AI Evaluation, Guardrails, and Monitoring.

MCP (Model Context Protocol)

• Experience developing MCP Servers and Clients.
• Knowledge of Tool Integration and Function Calling.
• Experience enabling Context Sharing across AI Agents.
• Enterprise API and system integration using MCP.
• Understanding of MCP Security, Authentication, and Authorization.

Cloud & DevOps

• Experience with Azure and/or AWS.
• Hands-on experience with Azure OpenAI Services.
• Familiarity with CI/CD pipelines and cloud-native application deployment.

Experience Required

• 4+ years of experience in .NET Full Stack Development.
• Minimum 2 years of hands-on experience with Generative AI / Agentic AI solutions.
• Experience delivering production-grade enterprise applications.