Full Stack Developer
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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.
Qualifications
B.E./B.Tech/MCA or equivalent in Computer Science, Information Technology, or a related field.
Strong analytical, problem-solving, and communication skills.
Preferred Domain: Banking/Financial Services experience will be an added advantage
Required