Java Full Stack Developer - Java/AngularJS

Job Description : Full Stack Developer

Role Summary :

We are looking for a Full Stack Developer with 5+ years of experience in developing enterprise-grade applications using Java, Angular, and PostgreSQL/MongoDB. The ideal candidate should have hands-on experience in Generative AI, Generative User Interfaces (GenUI), and Retrieval-Augmented Generation (RAG)-based applications, with the ability to build intelligent, AI-driven digital solutions.

Key Responsibilities :

• Design, develop, and maintain scalable web applications using Java, Spring Boot, and Angular.

• Develop and consume RESTful APIs and Microservices.

• Build responsive and interactive front-end applications using Angular.

• Design and optimize databases using PostgreSQL and MongoDB.

• Develop AI-powered solutions leveraging LLMs and Generative AI technologies.

• Build and enhance Generative User Interfaces (GenUI) for AI-assisted user experiences.

• Implement RAG (Retrieval-Augmented Generation) based solutions and AI-powered search capabilities.

• Work on RWA (Reasoning, Workflow & Agentic AI)-based applications for intelligent automation and business process optimization.

• Collaborate with product, UX, and business teams to deliver innovative AI-enabled applications.

• Ensure application security, scalability, performance, and maintainability.

Required Technical Skills :

• Strong experience in Java, Spring Boot, Microservices, REST APIs, Hibernate/JPA.

• Hands-on experience with Angular, TypeScript, JavaScript, HTML5, and CSS3.

• Experience with PostgreSQL and MongoDB.

• Knowledge of Git, CI/CD pipelines, unit testing, and Agile methodologies.

• Familiarity with Cloud platforms such as Azure, AWS, or GCP.

AI & GenAI Skills (Preferred) :

• Experience in Generative AI and LLM-based application development.

• Exposure to OpenAI, Azure OpenAI, Gemini, Claude, or similar AI platforms.

• Hands-on experience with LangChain, LangGraph, CrewAI, LangSmith, and AI Agent frameworks.

• Knowledge of RAG architectures, Vector Databases, and AI Search solutions.

• Experience in building Generative User Interfaces (GenUI) and conversational AI applications.

• Understanding of RWA (Reasoning, Workflow & Agentic AI) concepts and implementation.

• Familiarity with AI observability, prompt engineering, and model evaluation frameworks.