Fullstack Developer-Agentic AI

Sonata Software; Hyderabad; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Sonata Software in Hyderabad seeks a Senior .NET Full Stack Developer with Agentic AI expertise to design and deploy enterprise-grade AI-powered applications. You will collaborate with product, architecture, and AI teams to deliver scalable, secure solutions using C#, .NET 8, ASP.NET Core Web API, and modern UI frameworks.

You will build AI-enabled systems using Semantic Kernel, LangChain, AutoGen, and other agentic AI tools, develop RAG pipelines, integrate LLMs, and manage vector databases.

Qualifications

• Must have hands-on experience with C#, .NET 8/.NET Core, and ASP.NET Core Web API.
• Proficiency in Angular/React/Blazor for UI development.
• Experience building AI-powered applications and integration with AI agent frameworks.

Responsibilities

• Design, develop, test, and deploy enterprise applications using C#, .NET 8/.NET Core, and ASP.NET Core Web API.
• Develop responsive UIs using Angular, React, or Blazor.
• Build scalable backend services with REST, GraphQL, and microservices.
• Develop AI-powered applications using Semantic Kernel, LangChain, AutoGen, and related agentic AI frameworks.
• Design and implement single-agent and multi-agent AI systems with orchestration.
• Develop RAG pipelines using enterprise knowledge sources.
• Integrate LLMs like OpenAI, Azure OpenAI, Claude, Gemini.
• Develop MCP servers/clients for enterprise AI integration.
• Implement prompt engineering, context management, and memory handling.
• Integrate AI agents with enterprise apps via APIs and MCP tools.
• Utilize vector databases (Azure AI Search, Pinecone, ChromaDB, Weaviate).
• Ensure security, performance, and scalability of AI services.
• Collaborate across teams and participate in reviews and design discussions.

Skills

C#

.NET 8/.NET Core

ASP.NET Core Web API

Frontend: Angular/React/Blazor

REST APIs

GraphQL

Microservices

Agentic AI frameworks

LLMs

RAG

Vector Databases

MCP (Model Context Protocol)

OpenAI/Azure OpenAI/Claude/Gemini

Semantic Kernel

LangChain

AutoGen

CrewAI

LangGraph

Tools

Pinecone

ChromaDB

Weaviate

Azure AI Search

Job description

We are seeking an experienced Senior .NET Full Stack Developer with Agentic AI expertise to design, develop, and deploy enterprise-grade AI-powered applications. The ideal candidate should have strong hands‑on experience in C#, .NET 8/.NET Core, ASP.NET Core Web API, Angular/React/Blazor, and modern AI technologies including Agentic AI frameworks, Large Language Models (LLMs), RAG, Vector Databases, and MCP (Model Context Protocol).

You will work closely with product, architecture, and AI teams to build scalable, secure, and intelligent applications that integrate enterprise systems with AI agents.

Key Responsibilities

• Design, develop, test, and deploy enterprise applications using C#, .NET 8/.NET Core, and ASP.NET Core Web API.
• Develop responsive user interfaces using Angular, React, or Blazor.
• Build scalable backend services using REST APIs, GraphQL, and Microservices architecture.
• Develop AI-powered applications using Semantic Kernel, LangChain, AutoGen, CrewAI, LangGraph, or similar Agentic AI frameworks.
• Design and implement single-agent and multi-agent AI systems with orchestration capabilities.
• Build Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge sources.
• Integrate Large Language Models such as OpenAI, Azure OpenAI, Claude, and Gemini.
• Develop and manage MCP (Model Context Protocol) servers and clients for enterprise AI integration.
• Implement prompt engineering, context management, memory handling, and AI workflow orchestration.
• Integrate AI agents with enterprise applications using APIs, function calling, and MCP tools.
• Develop solutions using Vector Databases including Azure AI Search, Pinecone, ChromaDB, or Weaviate.
• Build secure, scalable, and high‑performing AI services following enterprise security standards.
• Optimize AI applications through monitoring, evaluation, guardrails, and performance tuning.
• Collaborate with cross‑functional teams throughout the software development lifecycle.
• Participate in code reviews, technical design discussions, and architecture planning.