Sr .Net Full Stack/AI Engineer

We are seeking a highly skilled .NET Developer with strong experience in Angular and Artificial Intelligence (AI) to join our development team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications using .NET technologies and Angular, while also integrating AI-driven features and intelligent automation solutions into business applications. This role requires a combination of backend, frontend, and AI knowledge to deliver modern, high-performance software solutions. The Role 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

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 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