.NET Developer with AI experience || Hybrid role in Charlotte, NC || Face to Face interview is Mandatory ||

.NET Developer with AI experience
Location: Charlotte, NC (Hybrid - 3 Days Onsite)
Interview: Face-to-Face interview in Charlotte, NC is mandatory
Experience: 6 8 Years

Responsibilities:

• Design, develop, test, and maintain web applications using .NET / .NET Core / ASP.NET MVC / Web API
• Build responsive and interactive user interfaces using Angular
• Develop and consume RESTful APIs and integrate third-party services
• Collaborate with cross-functional teams including UI/UX designers, product managers, and QA engineers
• Integrate AI/ML models, APIs, or intelligent services into enterprise applications
• Work on features such as chatbots, recommendation systems, predictive analytics, NLP integrations, or automation tools
• Optimize applications for maximum speed, scalability, and security
• Write clean, reusable, and efficient code following best practices
• Troubleshoot, debug, and upgrade existing systems
• Participate in code reviews, architecture discussions, and technical documentation
• Ensure software quality through unit testing, integration testing, and performance tuning
• Stay updated with emerging technologies in Microsoft stack, Angular ecosystem, and AI tools/frameworks

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field
• Proven experience as a .NET Developer or Full Stack Developer
• Strong hands-on experience with:
  • C#
  • .NET / .NET Core / ASP.NET
  • Angular
  • HTML5, CSS3, JavaScript, TypeScript
  • SQL Server or other relational databases
• Experience in developing and integrating Web APIs
• Knowledge of Entity Framework, LINQ, and ORM tools
• Familiarity with Git, Azure DevOps, or other version control / CI-CD tools
• Understanding of software development lifecycle and agile methodologies

Preferred, but not required:

• Experience working with Artificial Intelligence / Machine Learning solutions
• Knowledge of AI-related tools, frameworks, or services such as:
  • Azure AI Services
  • OpenAI APIs
  • ML.NET
  • Python for AI integration (preferred but not mandatory)
  • Natural Language Processing (NLP) or chatbot frameworks
• Experience deploying applications on Azure or other cloud platforms
• Familiarity with microservices architecture and containerization tools like Docker
• Understanding of authentication/authorization mechanisms such as JWT, OAuth
• Exposure to modern DevOps practices