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in full-stack data science, including practical exposure to cloud-native architectures and agentic AI frameworks Key Responsibilities:\nDesign and develop end-to-end full-stack applications, covering frontend, backend, and API components\nBuild and deploy agentic AI applications using multi-agent systems and autonomous workflows\nImplement scalable backend systems with microservices and event-driven architectures to support intelligent solutions\nDevelop cloud-native solutions on platforms such as Azure, AWS, and GCP, ensuring robust and scalable deployments\nIntegrate LLM-based frameworks and agent orchestration tools to enable adaptive and intelligent workflows\nEnforce best practices in code quality, testing, debugging, observability, performance optimization, security, and scalability\nCollaborate with cross-functional teams to deliver technical solutions aligned with business requirements\nContribute to design reviews and architectural decisions for AI-driven systems\nRequired 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