What are the responsibilities and job description for the .NET Developer with AI experience || Hybrid role in Charlotte, NC || Face to Face interview is Mandatory || position at Infodyne Solutions?
.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
Salary : $45 - $50