Fullstack Java Engineer (With AI Capabilities)

The Opportunity We’re looking for a skilled Java Full Stack Developer to join our team and take ownership of building scalable, high-performance applications. You’ll work across the stack-from designing robust REST APIs to crafting responsive front-end interfaces. This is a critical role with immediate impact, offering the chance to collaborate with cross-functional teams and contribute to cloud-native, event-driven architectures. Additionally, the role will involve working with AI-driven solutions, including integrating AI services, contributing to AI-enabled features, or supporting AI-based platforms. The candidate should be comfortable working in AI-driven environments and using AI to improve efficiency and user experience. Job Details Job Title: Java Full Stack Developer Department: Technology

Education: Graduation in Engineering (preferably BE/B.Tech) or equivalent professional qualification

Employment Type: Full-time, Permanent Location: Hyderabad Work Mode: 5 Days Work From Office (WFO) Candidates should have exposure to AI-based tools, platforms, or solutions and demonstrate adaptability to evolving AI technologies.

Key

Responsibilities Develop microservices and integrate with external systems and event-driven architectures (e.g., Kafka). Build responsive, cross-browser compatible UIs using React.js, Redux, and TypeScript/JavaScript. Ensure application performance, scalability, and security best practices. Integrate front-end components with backend APIs seamlessly. Write unit and integration tests using JUnit, Mockito, Jest, or React Testing Library. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. Collaborate with Product Owners, QA, and developers to deliver high-quality features. Conduct code reviews and ensure adherence to coding standards. Work on integrating AI/ML-based features, APIs, or services into applications wherever applicable. Support development of AI-driven systems or platforms to enhance automation and decision-making.

Requirements Required

Technical Skills Strong proficiency in Java 8+, Spring Boot, REST APIs, and Hibernate/JPA. Hands-on experience with React.js, Redux, JavaScript/TypeScript, HTML5, CSS3, and UI libraries like Bootstrap or Material UI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with Kafka or other event-driven systems. Knowledge of OAuth2, JWT, and secure authentication mechanisms. Experience with Git, Maven/Gradle, and JIRA. Strong problem-solving, analytical, and communication skills. Ability to work independently and collaboratively in Agile teams. Basic to intermediate understanding of AI/ML concepts and practical exposure to AI tools, frameworks, or APIs. Experience in integrating AI services (such as NLP, recommendation systems, or automation tools) into applications is preferred. Good to Have Skills and

Experience Required Experience deploying applications on cloud platforms (AWS, Azure, GCP). Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Exposure to containerization tools like Docker and orchestration with Kubernetes. Hands-on experience working on AI platforms or AI-enabled products. Exposure to modern AI frameworks, LLM integrations, or intelligent automation tools. Ability to quickly adapt to AI-driven tools, workflows, and development practices.