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Mid-level fullstack at PwC in Bangalore with broad Java+React and LLM skills attracts high applicant density.
Core Java+React skills are transferable, but advisory and AI-chatbot experience adds domain specificity.
Explicit 5+ years plus mandatory Java17/React/Redux, CI/CD and AI-chatbot skills create high strictness.
Lead development and maintenance of enterprise-level Java full stack applications using Java 17+, Spring Boot, Hibernate, and React.js with state management frameworks such as Redux or Context API.
Design, integrate, and optimize RESTful APIs while implementing AI-powered chatbots, conversational UIs, or NLP features to enhance user experience and automation.
Adopt and leverage AI-assisted development tools and DevOps practices including CI/CD pipelines within Agile/Scrum environments to improve development efficiency and quality.
4 to 8 years of experience in full stack Java development.
Strong proficiency in Java 17+, backend frameworks (Spring Boot, Hibernate), and frontend development with React.js including state management (Redux/Context API).
Experience with RESTful API design, AI-powered conversational interfaces, CI/CD pipelines, and Agile/Scrum methodologies.
Educational qualification: BE/B.Tech/MBA/MCA or Master of Engineering, Bachelor of Engineering.
Demonstrated ability to handle full software development lifecycle for enterprise products with multiple integrated technologies (Java backend, React frontend, AI features).
Experienced in adopting AI-assisted coding tools and integrating AI/NLP capabilities into applications, indicating a forward-leaning technical mindset.
Comfortable working in Agile teams with CI/CD and DevOps practices, emphasizing continuous integration and delivery.