Dot Net fullstack developer with AI

Position: Dot Net Full Stack Developer with AI Location : Charlotte NC Position type: W2 contract Our challenge We are seeking an experienced .NET Full Stack Developer with strong expertise in Angular, Python, and AI application development using LangGraph/LangChain frameworks. The ideal candidate will be responsible for designing, developing, and deploying scalable enterprise applications while integrating AI-driven solutions and agentic workflows. This role requires hands-on experience across front-end, back-end, cloud technologies, API development, and modern AI frameworks. Responsibilities • Design, develop, and maintain enterprise-grade applications using .NET Core/.NET 8, C#, and Angular. • Build and consume RESTful APIs, Microservices, and Web Services. • Develop AI-powered applications using Python, LangGraph, LangChain, and Large Language Models (LLMs). • Design and implement multi-agent workflows, AI orchestration, and retrieval-augmented generation (RAG) solutions. • Integrate AI services with enterprise platforms and business applications. • Develop responsive and user-friendly front-end applications using Angular, TypeScript, HTML5, CSS3, and Bootstrap. • Work with cloud-native services on Azure including App Services, Functions, Azure OpenAI, Storage, and CI/CD pipelines. • Collaborate with business stakeholders, architects, and product teams to translate requirements into technical solutions. Requirements • Strong experience with C#, .NET Core/.NET 6/7/8, ASP.NET MVC, and Web APIs. • Hands-on experience with Angular (12+), TypeScript, JavaScript, HTML5, and CSS3. • Proficiency in Python for AI/ML and backend development. • Experience with LangGraph, LangChain, AI Agents, Agentic Workflows, and LLM integrations. • Knowledge of Azure OpenAI, OpenAI APIs, Vector Databases, and RAG architectures. • Experience with SQL Server, database design, stored procedures, and query optimization. • Strong understanding of Microservices Architecture, API Gateway, and Event-Driven Design. • Experience with Git, Azure DevOps, CI/CD pipelines, and Agile methodologies. • Familiarity with authentication and security frameworks such as OAuth2, JWT, and Azure AD. Preferred • Experience with Semantic Kernel or Microsoft AI ecosystem. • Exposure to Prompt Engineering, AI Model Evaluation, and LLM Monitoring. • Knowledge of Docker, Kubernetes, and Containerization. • Experience in Banking, Financial Services, or Enterprise Digital Transformation projects.