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