.Net Fullstack (Angular) Developer

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. The Role Responsibilities:

• Design, develop, and maintain enterprise-grade applications using .NET Core/.NET 8, C#, and Angular.
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Build and consume RESTful APIs, Microservices, and Web Services.

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Develop AI-powered applications using Python, LangGraph, LangChain, and Large Language Models (LLMs).

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Design and implement multi-agent workflows, AI orchestration, and retrieval-augmented generation (RAG) solutions.

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Integrate AI services with enterprise platforms and business applications.

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Develop responsive and user-friendly front-end applications using Angular, TypeScript, HTML5, CSS3, and Bootstrap.

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Work with cloud-native services on Azure including App Services, Functions, Azure OpenAI, Storage, and CI/CD pipelines.

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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.
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Hands-on experience with Angular (12+), TypeScript, JavaScript, HTML5, and CSS3.

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Proficiency in Python for AI/ML and backend development.

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Experience with LangGraph, LangChain, AI Agents, Agentic Workflows, and LLM integrations.

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Knowledge of Azure OpenAI, OpenAI APIs, Vector Databases, and RAG architectures.

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Experience with SQL Server, database design, stored procedures, and query optimization.

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Strong understanding of Microservices Architecture, API Gateway, and Event-Driven Design.

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Experience with Git, Azure DevOps, CI/CD pipelines, and Agile methodologies.

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Familiarity with authentication and security frameworks such as OAuth2, JWT, and Azure AD. Preferred, but not required:  

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Experience with Semantic Kernel or Microsoft AI ecosystem.

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Exposure to Prompt Engineering, AI Model Evaluation, and LLM Monitoring.

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Knowledge of Docker, Kubernetes, and Containerization.

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Experience in Banking, Financial Services, or Enterprise Digital Transformation projects.