Role Overview

- We are hiring a Java Full Stack Architect Agentic AI for a hands-on, production-focused role.

- This position requires strong expertise in Java-based AI development (not Python) and experience building production-ready applications using LLMs / GenAI.

- The ideal candidate should have deep architectural experience, strong system design skills, and practical exposure to Agentic AI, Spring AI, and RAG-based solutions.

- Note: Candidates will be required to write LLM/GenAI-related code during the interview.

Key Responsibilities :

- Design and develop scalable, multi-tenant architectures for AI-powered applications

- Build and deploy production-ready GenAI / LLM-based solutions using Java

- Implement Agentic AI workflows using Spring AI and related frameworks

- Design and develop Java Full Stack applications using Spring Boot and modern front-end frameworks

- Integrate LLMs with enterprise systems, APIs, and data sources

- Implement RAG (Retrieval-Augmented Generation) pipelines (good to have)

- Work with cloud-native architectures on AWS or Azure

- Ensure high availability, performance, security, and maintainability of applications

- Collaborate with cross-functional teams to translate business requirements into technical solutions

Required Skills & Experience :

- Strong expertise in designing multi-tenant systems

- Hands-on experience with Java & Spring Boot

- Proven experience with AI / GenAI technologies, especially:

- Large Language Models (LLMs)

- Spring AI

- Agentic AI concepts

- Experience building production-grade AI applications

- Cloud experience on AWS (Azure acceptable)

- Experience with Microservices Architecture

- Frontend experience with Next.js

- Database experience with MongoDB

Good to Have :

- Experience implementing RAG (Retrieval-Augmented Generation)

- Experience building AI Chatbots

- Knowledge of prompt engineering, embeddings, vector databases

- Exposure to scalable AI system design patterns

Interview Process :

- Technical discussion focused on architecture & system design

- Live coding / hands-on exercise related to LLMs / GenAI in Java