Senior Full Stack AI/Java Developer

Job Description: Responsibilities:Lead full-stack development using Java (8+ or higher),Spring Boot, Spring Data, and ORM tools like Hibernate/JPA.Apply AI-driven practices for code generation, automated testing, security vulnerability detection, and performance optimization.Write AI prompts and specifications into development workflows, ensuring clarity and accuracy for automated processes.Build responsive front-end interfaces with HTML5,CSS, JavaScript, and frameworks such as React or Angular or similar.Design and implement RESTful APIs, ensure secure and scalable architecture, and manage data migration to relational databases (PostgreSQL, Oracle, DB2or similar).Integrate messaging platforms (JMS, RabbitMQ, Kafka or similar).Implement CI/CD pipelines(Jenkins, GitHub Actions or similar) and follow Agile methodologies.Ensure compliance with secure coding standards and contribute to technical documentation and deployment support. Required Skills And Experience:Hands-on experience in Java development with full-stack expertise.Experience in AI prompt engineering and writing AI specifications for development automation and intelligent workflows.Experience applying AI in software development processes(code generation, automated testing, security scanning, optimization).Experienced in implementing AI Security & Governance, AI security best practices, understanding and applying security safeguard when using agentic AIExperience with AI-assisted development tools(GitHub Copilot, OpenAI, Gemini, Windsurf or similar).Experience in Spring Framework/Spring Boot, ORM tools (Hibernate/JPA) or similar.Strong front-end development experience:HTML5, CSS, JavaScript, and modern frameworks (React/Angular).Solid understanding of RESTful API design, microservices architecture, and cloud-native development.Hands-on experience with relational databases and advanced SQL.Experience with unit testing frameworks and CI/CD pipelines.Strong understanding of secure coding practices, compliance standards, and performance optimization. Preferred Qualifications:Experience with legacy system enhancement and modernization.Experience with cloud platforms(AWS, Azure, GCP).Experience with containerization technologies(Docker, Kubernetes).Experience with event-driven architectures and streaming platforms such as Kafka.