Dot NET Full Stack Developer ( Basic exp in Generative AI)

Project Role:

Job Summary

We are looking for a skilled and forward-thinking .NET Full Stack Developer with a strong interest in Generative AI and Agentic AI technologies.

The ideal candidate should have hands-on experience in designing, developing, testing, and maintaining enterprise applications using .NET technologies and modern frontend frameworks.

The candidate will contribute to building scalable software solutions and integrating AI-powered capabilities into enterprise applications to improve productivity, automate business processes, and deliver innovative solutions.

Roles & Responsibilities

• Design, develop, and maintain full-stack applications using .NET technologies.
• Develop backend services, REST APIs, and business logic using C# and ASP.NET Core.
• Build responsive and user-friendly frontend applications using React or Angular.
• Work with databases, including SQL Server and other relational databases.
• Develop and integrate APIs with internal and third-party applications.
• Explore and implement Generative AI and Agentic AI capabilities in enterprise applications.
• Apply prompt engineering techniques to improve AI-generated responses.
• Work with Python for AI-related development and integration where required.
• Participate in code reviews, debugging, testing, and performance optimization.
• Follow Agile development practices and collaborate with cross-functional teams.
• Ensure application quality, security, scalability, and maintainability.

Mandatory Technical Skills

• Minimum 2+ years of experience in .NET Full Stack Development.
• Strong knowledge of C#, ASP.NET Core, and .NET Core.
• Experience in ASP.NET MVC and Web API development.
• Knowledge of frontend technologies such as HTML, CSS, JavaScript, and React or Angular.
• Experience working with SQL Server and database queries.
• Understanding of REST APIs and application integration.
• Knowledge of object-oriented programming and software development principles.

Good-to-Have Skills

• Basic understanding of Generative AI and Agentic AI.
• Knowledge of Large Language Models (LLMs).
• Exposure to prompt engineering and AI integration.
• Basic Python programming knowledge.
• Exposure to Azure, AWS, or other cloud platforms.
• Knowledge of microservices architecture.
• Familiarity with Git, CI/CD, and Agile methodologies.
• Exposure to AI evaluation frameworks and responsible AI practices.

Educational Qualification

• Minimum 15 years of full-time education.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.