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Strong employer brand, popular generalist title, and broad skillset requirements increase applicant competition.
Java microservices and Generative AI skills are highly transferable across industries.
Explicit technical stack, LLM experience, and healthcare enterprise context create stringent mandatory filters.
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Design, develop, test, and maintain Java Spring Boot applications, REST APIs, microservices, and automation scripts using Python.
Develop and integrate AI-powered solutions using Generative AI, Large Language Models (LLMs), and related frameworks into enterprise applications.
Collaborate with cross-functional teams in an Agile environment and stay updated on Java, Python, Cloud, and AI technologies.
B.Tech/B.E. in Computer Science, IT, Electronics or MCA degree.
Up to 2+ years of relevant experience or recent graduates.
Hands-on knowledge in Java development with strong core Java and Spring Boot microservices.
Experience or knowledge of Docker, Kubernetes fundamentals, cloud platforms (Azure/AWS/GCP), CI/CD concepts, and basics of Linux.
Experience building enterprise applications with Java Spring Boot and Python automation scripts, demonstrating solid programming fundamentals.
Familiarity with Generative AI technologies, including LLMs, AI platforms (OpenAI, Azure OpenAI, Gemini, Claude), prompt engineering, and vector databases.
Ability to translate business needs into scalable AI-enhanced applications with exposure to Agile teams and cloud-native deployments.