Key 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 implement RAG-based features where relevant.

- Quality & Speed

- Combine AI-assisted productivity with engineering best practices to deliver robust, scalable solutions.

- Collaboration

- Work closely with architects and AI-native specialists to ensure seamless integration and adoption.

- Solid 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.

📌 Java Full Stack Development-7951 (Bengaluru)
🏢 RNR Global Certification
📍 Bengaluru