Associate, AI Scientist Intern

Job highlights Identified by Google from the original job post Qualifications • This position requires hands-on coding experience across the stack and the ability to embed AI into every stage of the software development lifecycle from design and coding to testing, security, and performance optimization • 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 AI • Experience 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 • 9 more items(s) 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 • 5 more items(s) More job highlights Job description Job: java Developer-AI Modernization

The Senior Full Stack Java Developer AI-Driven Modernization is a critical role that combines deep Java expertise with AI-powered development practices to transform legacy mainframe applications into a secure, scalable, and user-friendly web-based platform. This position requires hands-on coding experience across the stack and the ability to embed AI into ever...y stage of the software development lifecycle from design and coding to testing, security, and performance optimization.

Key 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 & 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 AI

• Experience 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, Google Cloud Platform).

• Experience with containerization technologies(Docker, Kubernetes).

• Experience with event-driven architectures and streaming platforms such as Kafka. Show full description Report this listing Loading...