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Java Full Stack Developer

Mounika ReddyUnited StatesSENIORPosted 1h ago
JavaReact.jsGenerative AIOpenAIClaudeRetrieval-Augmented GenerationLangChainLangGraphSpring BootAngularTypeScriptHTML5CSS.NETC#Node.jsPythonSQL ServerPostgreSQLNoSQLVector DatabasesREST APIsGraphQLAzureAWSGCPDockerKubernetesInfrastructure as Code
About the Role We are looking for a Java Full Stack Developer to join our team. This role focuses on building AI-powered enterprise applications using Java, React, and Generative AI technologies. Key Responsibilities • Design, develop, test, deploy, and support end-to-end AI-powered enterprise applications • Develop frontend applications using React, Angular, TypeScript, HTML5, and CSS • Build scalable backend services using Java, Spring Boot, .NET, C#, Node.js, and Python • Develop and maintain microservices-based applications • Design and integrate REST APIs and GraphQL services • Work with SQL Server, PostgreSQL, NoSQL, and Vector Databases • Develop GenAI solutions using OpenAI, Azure AI, Gemini, and Claude • Implement RAG, embeddings, semantic search, and Agentic AI workflows • Work with LangChain, LangGraph, and Semantic Kernel • Deploy cloud-native applications using Azure, AWS, or GCP • Implement CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code • Ensure AI security, governance, privacy, and Responsible AI practices Requirements • 10+ years of experience in Java Full Stack Development • Hands-on experience with React and GenAI in current or most recent project • Strong understanding of frontend technologies including Angular, TypeScript, HTML5, and CSS • Experience with backend technologies including Java, Spring Boot, .NET, C#, Node.js, and Python • Knowledge of database technologies including SQL Server, PostgreSQL, NoSQL, and Vector Databases • Experience with API design and integration using REST and GraphQL • Familiarity with cloud platforms including Azure, AWS, and GCP • Experience with containerization and orchestration using Docker and Kubernetes • Understanding of CI/CD pipelines and Infrastructure as Code • Knowledge of AI security, governance, privacy, and Responsible AI practices

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