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nCircle Tech

AI Enabled Full stack

Posted 4 Days Ago
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In-Office
Pune, Maharashtra, IND
Senior level
In-Office
Pune, Maharashtra, IND
Senior level
Develop enterprise web applications using Angular, .NET Core, C#, and SQL Server; design REST APIs, microservices, and cloud-native services; integrate OpenAI and other LLMs; build Agentic AI, MCP, and RAG solutions; optimize databases; implement CI/CD; and deploy on Azure. Collaborate with global teams and use AI-assisted development tools.
The summary above was generated by AI

We are seeking an experienced AI-Enabled Full Stack Developer with strong expertise in Angular, .NET Core, C#, SQL Server, and Azure to build scalable enterprise applications and integrate generative AI capabilities. The ideal candidate should have hands-on experience with LLM integrations, Agentic AI, MCP, RAG frameworks, and cloud-native development.

 

Key Responsibilities

  • Develop and maintain enterprise-grade web applications using Angular, .NET Core, C#, and SQL Server.
  • Design and build secure REST APIs, microservices, and cloud-native solutions.
  • Integrate OpenAI, Azure OpenAI, Claude, or similar LLMs into business applications.
  • Develop Agentic AI workflows, MCP integrations, and RAG-based solutions.
  • Build and optimize scalable backend services and database architectures.
  • Implement CI/CD pipelines and deploy applications on Azure.
  • Collaborate with cross-functional teams across global time zones, including JST overlap.
  • Leverage AI-assisted development tools such as GitHub Copilot, Cursor, and Claude Code to improve productivity.

Requirements

Required Skills

  • Frontend: Angular (v12+), TypeScript, JavaScript, HTML5, CSS3
  • Backend: .NET Core, ASP.NET MVC/Web API, C#
  • Database: SQL Server, PostgreSQL
  • AI/GenAI: OpenAI, Azure OpenAI, Prompt Engineering, Agentic AI, MCP, RAG, Vector Databases
  • Cloud & DevOps: Azure, Docker, Kubernetes (preferred), Azure DevOps, GitHub Actions
  • Tools: Git, Visual Studio, Azure DevOps

 

Preferred Skills

  • Experience building AI-powered enterprise applications.
  • Knowledge of Semantic Kernel, LangChain, LangGraph, or AutoGen.
  • Experience with microservices and event-driven architectures.
  • Exposure to SaaS product development and enterprise integrations.


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