Lead .Net Developer

8 - 13 years

0 - 1 Lacs

pune chennai mumbai (all areas)

Posted:23 hours ago| Platform: Naukri logo

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Skills Required

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Job Overview

We are looking for a versatile Full Stack Developer with solid experience in.NET and Angular, who is also familiar with modern AI

technologies, especially Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). You will be part of a cross-

functional team building intelligent, user-centric applications that integrate traditional development frameworks with cutting-edge AI/ML capabilities.

Key Responsibilities:

  • Design, develop, and maintain scalable web applications using .NET (C#) and Angular.
  • Collaborate with AI/ML teams to integrate RAG pipelines and LLM APIs (e.g., OpenAI, Azure OpenAI, Hugging Face) into applications.
  • Build APIs and backend services that interface with vector databases, documentstores, and language models.
  • Develop secure, efficient, and modular code adhering to best practices and coding standards.
  • Translate businessrequirementsinto functional components with intelligent AI-driven enhancements.
  • Monitor application performance and troubleshoot production issues.
  • Work with DevOpsto automate and deploy AI-infused applications using CI/CD pipelines.

Required Qualifications:

5 - 10 years of fullstack development experience with strong skills in:

  • .

    NET Core / ASP.NET

  • Angular

  • Solid understanding of RESTful APIs, microservices, and modern web architecture.

  • Experience with relational databases(SQL Server, PostgreSQL) and ORMslike Entity Framework.

  • Experience integrating LLMs (OpenAI, Azure OpenAI, or other APIs) into applications.

  • Familiarity with RAG architecture, including:

  • Document embedding

  • Vectorsearch (e.g., using FAISS, Pinecone, or Azure Cognitive Search)

  • Prompt engineering for LLMs

Good to Have:

  • Knowledge of LangChain, Semantic Kernel, orsimilar frameworks.
  • Experience working with Azure, AWS, or GCP AIservices.
  • Familiarity with containerization (Docker/Kubernetes).
  • Exposure to CI/CD tools and automated deployment pipelines.
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)

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