Java Full Stack Development

Build full‑stack enterprise applications using AgentAI tools for accelerated coding, testing, and integration.

Bengaluru, Karnataka, India
Posted Nov 3, 2026

INDUSTRYSoftware & InternetSaaS & Enterprise Software

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Responsibilities

Hands‑on Development
Use AgentAI copilots and LLM tools for rapid coding, debugging, and documentation.
Develop front‑end and back‑end components with seamless integration.
Integrate pre‑built AI services and APIs into applications and implement RAG‑based features where relevant.
Combine AI‑assisted productivity with engineering best practices to deliver robust, scalable solutions.
Work closely with architects and AI‑native specialists to ensure seamless integration and adoption.

Requirements

15 years full time education

Skills

Java Full Stack DevelopmentJava (Spring Boot).NET (C#)Python React Angular Vue.js TypeScript JavaScriptSQL/NoSQLREST/GraphQL APIscloud-native developmentCI/CD pipelinesAI‑assisted development toolsLLM‑based coding assistantsAgentAI toolsAgentAILLM toolscopilotsAPIs

Full description

Project Role : AI Native Software Engineer Project Role Description : Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated. Must have skills : Java Full Stack Development Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Role Summary AI Powered Tech Talent Build full-stack enterprise applications using AgentAI tools for accelerated coding, testing, and integration. Deliver immediate organizational value through productivity uplift and reduced reliance on scarce AI-native talent.AI Powered Tech Talent Key Responsibilities Hands-on Development o Use AgentAI copilots and LLM tools for rapid coding, debugging, and documentation. o Develop front-end and back-end components with seamless integration. o Integrate pre-built AI services and APIs into applications implement RAG-based features where relevant. Quality & Speed o Combine AI-assisted productivity with engineering best practices to deliver robust, scalable solutions. Collaboration o Work closely with architects and AI-native specialists to ensure seamless integration and adoption. Must-Have Qualifications Strong foundation in enterprise engineering, SDLC, and domain workflows. Experience using AI-assisted development tools (copilots, LLM-based coding assistants). Practical knowledge of AI concepts and limitations focus on integration, not model training. Ability to accelerate delivery without compromising quality. Programming & Full-Stack Skills Backend (any 1 or more) : Java (Spring Boot), .NET (C#), Python Frontend: React / Angular / Vue.js, TypeScript / JavaScript Additional: SQL/NoSQL, REST/GraphQL APIs, cloud-native development, CI/CD pipelines. Additional Information: - The candidate should have minimum 3 years of experience in Java Full Stack Development. - A 15 years full time education is required.