The successful candidate will have strong fundamentals in software engineering, data structures and algorithms, and experience designing secure, scalable, cloud-native applications. Exposure to AI/ML, Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI platforms is highly desirable.
Bachelor's or Master's degree in Computer Science or a related field from a reputed university.
5+ years of experience designing and developing scalable, distributed enterprise applications.
Strong expertise in Java, J2EE, Spring Boot, microservices, REST APIs, and modern web technologies.
Experience with JavaScript, Node.js, Oracle JET (or similar UI frameworks), Git, Docker and CI/CD pipelines.
Strong understanding of data structures, algorithms, design patterns, and scalable system architecture.
Experience building, deploying, and operating cloud-native applications on OCI, AWS, Azure, or Google Cloud.
Hands-on experience using AI-powered software development tools such as ChatGPT Codex or similar coding assistants to improve engineering productivity.
Exposure to enterprise AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, AI agents, prompt engineering, and AI application integration is highly preferred.
Strong analytical and problem-solving skills with the ability to design innovative, scalable solutions.
Excellent communication, collaboration, and technical leadership skills.
Passion for continuous learning and adopting emerging AI technologies and engineering best practices.
