AI & Full Stack Developer

We are seeking an experienced Generative AI and Full Stack Developer to design, develop, and implement intelligent, scalable, and API-driven solutions. The ideal candidate will have a strong background in full-stack development, microservices architecture, and hands-on expertise in generative AI frameworks to build next-generation intelligent automation systems.

Key Responsibilities:

1. Design and implement API-driven, microservices-based architectures enabling intelligent automation and real-time data processing.
2. Develop robust full-stack applications integrating agentic UI components using modern frameworks such as Python, Node.js, .NET, Angular, and React.
3. Leverage advanced agentic AI frameworks including CrewAI, n8n, Flowise, LangChain, Semantic Kernel, and AutoGen to build intelligent workflow automation and dynamic, context-aware interactions.
4. Lead full-stack web application development with Microsoft .NET, React, and Node.js, delivering scalable and secure enterprise solutions.
5. Engineer and optimize RESTful APIs for seamless integration with existing Microsoft SQL Server and other backend systems.
6. Develop and maintain CI/CD pipelines, incorporating automated testing and deployment aligned with modern DevOps best practices.
7. Architect and develop enterprise-grade applications leveraging Azure and AWS cloud services, ensuring system scalability, high availability, and performance.
8. Implement real-time event processing with EventBus and design high-throughput backend systems using SQL and PostgreSQL.

Required Skills & Experience:

1. Proven experience in full-stack development (frontend and backend) using .NET, Node.js, Angular, React, and Python.
2. Hands-on expertise with Generative AI and agentic frameworks (CrewAI, LangChain, Flowise, AutoGen, etc.).
3. Strong knowledge of microservices architecture, RESTful API design, and real-time data processing.
4. Experience deploying and managing solutions on Azure and/or AWS cloud platforms.
5. Familiarity with CI/CD pipelines, DevOps practices, and automated deployment.
6. Solid understanding of database design and optimization (SQL Server, PostgreSQL).