.NET FSD - GNAF

Job Description
Job Title: .NET Full Stack Developer with AI and GenAI ExposureLocation: Chennai / Coimbatore (Work from Office)Experience: 4–7 YearsNotice Period: Immediate to 15 Days PreferredInterview Process: Face-to-Face Interview (F2F)

About the Role

• We are looking for a talented .NET Full Stack Developer with hands-on experience in AI technologies, Chatbot, and GenAI to join our team. The ideal candidate should have a strong foundation in software development principles, be comfortable with both frontend and backend technologies, and be eager to contribute to AI-driven application development.
• This role offers a chance to work on intelligent solutions with a modern tech stack involving C#, .NET Core, React JS, and AI frameworks

Key Responsibilities

• Design and develop robust full stack applications using C#/.NET Core and modern JavaScript frameworks.
• Collaborate with cross-functional teams to build intelligent features powered by Chatbots and GenAI.
• Work on data modeling and access layers using Cosmos DB, SQL Server, and Elastic Search.
• Implement UI components using React JS, AngularJS, HTML5, CSS3, and SASS.
• Write reusable, testable, and efficient code following best practices in TDD and unit testing.
• Develop and consume RESTful APIs, and integrate with third-party libraries and services.
• Perform performance tuning and memory optimization of applications.
• Stay current with emerging technologies in AI, web development, and cloud services

Mandatory Skills & Experience

• 2+ years of software development experience with strong fundamentals in Data Structures, Algorithms, and Design Patterns.
• Expertise in C#, VB.NET, ASP.NET, and .NET Core.
• Solid frontend development experience with React JS, AngularJS, JavaScript, TypeScript, HTML5, CSS3, and SASS.
• Database experience with Cosmos DB, Elastic Search, and SQL Server.
• Proficient in Python, JavaScript, and TypeScript.
• Hands-on experience with RESTful API development and integration.
• Exposure to Chatbots, AI, and GenAI solutions.
• Strong debugging, optimization, and performance analysis skills.
• Knowledge of TDD, unit testing, and modern software architecture principles.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.
• Understanding of modern architectural patterns and microservices.
• Exposure to cloud services (e.g., Azure) is an added advantage.

Experience Level

Senior Level