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Job Description

Job Title: Full Stack Developer – Microsoft Stack / Azure / OpenAI


Experience:

Location:

Employment Type:


About the Role

We are looking for an experienced Full Stack Developer


Key Responsibilities

  • Design, develop, and maintain end-to-end web applications using

    .NET Core / ASP.NET

    ,

    C#

    ,

    Web API

    , and

    SQL Server

    .
  • Build responsive front-end interfaces using

    HTML5, CSS3, JavaScript, TypeScript

    , and frameworks like

    Angular / React

    .
  • Develop and integrate

    RESTful APIs

     and

    microservices

     for scalable architectures.
  • Deploy, manage, and monitor applications in

    Microsoft Azure

     using services like App Services, Azure SQL, Blob Storage, and Key Vault.
  • Work closely with cross-functional teams (UI/UX, QA, DevOps) to deliver high-quality software solutions.
  • Implement secure coding practices, optimize performance, and ensure system scalability.
  • Collaborate on integrating

    OpenAI

     or other AI/ML-based APIs into applications for automation, chatbots, or data processing workflows.
  • Participate in code reviews, technical discussions, and architecture planning.
  • Maintain comprehensive documentation and follow agile/scrum methodologies.

  • Technical Skills Required

    Core Microsoft Stack:

    • C#, ASP.NET Core / MVC / Web API
    • Entity Framework / LINQ / ADO.NET
    • SQL Server (T-SQL, Stored Procedures, Query Optimization)

    Frontend:

    • HTML5, CSS3, JavaScript, TypeScript
    • Angular / React (any major modern frontend framework)

    Cloud and DevOps:

    • Microsoft Azure (App Services, Functions, Logic Apps, Azure SQL, Storage)
    • Azure DevOps / CI-CD Pipelines
    • Docker / Containerization (preferred)

    Azure OpenAI / OpenAI (Preferred):

    • Experience integrating

      Azure

      /

      OpenAI APIs

       (Latest GPT models, Fine tuning, Embeddings, LangChain, Semantic Kernel, etc.)
    • Knowledge of AI-assisted development or NLP use cases
    • RAG systems

     

    Qualifications

    • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
    • 6–8 years of professional software development experience.
    • Strong problem-solving skills and a deep understanding of software architecture principles.
    • Excellent communication and teamwork abilities.
    • Ability to learn new tools and technologies quickly.

  • Good to Have

    • Experience with

      .NET 8 / Blazor / MAUI

    • Familiarity with Microservices architecture

       and

      GraphQL

    • Exposure to Power Platform

       or

      Microsoft Cognitive Services

    • Understanding of AI-based integrations

       or

      semantic search solutions


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