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Tier-1 brand, popular full-stack title, metro location, and broad AI/frontend/backend requirements increase candidate competition.
Strong technical skills are transferable, but healthcare regulatory experience increases domain sensitivity.
Explicit 12+ years requirement plus mandatory deep frontend, backend, cloud, and AI skills make filters strict.
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Lead architecture, design, and development of AI-powered full stack web applications focusing on scalability, performance, and user experience.
Design and implement Backend-for-Frontend layers, RESTful and GraphQL APIs, real-time communication capabilities, and distributed scalable architectures.
Provide technical leadership, mentor engineering teams, establish best practices, and drive delivery of enterprise-scale AI applications end-to-end.
Bachelor's degree in Computer Science, Engineering, IT, or related field.
12+ years experience in full stack application development with expertise in React, Next.js, Angular, Node.js, and Python frameworks.
Proven experience in cloud-native development (AWS, Azure, or GCP), containerization, orchestration, CI/CD pipelines, and DevOps.
Experience implementing AI-powered applications with Large Language Models, Retrieval-Augmented Generation, agentic AI workflows, and solid understanding of AI/ML concepts.
Senior-level full stack engineer with extensive expertise in modern frontend and backend technologies, cloud-native development, and scalable distributed systems.
Experienced in integrating advanced AI/ML and Generative AI capabilities into enterprise applications including LLMs and semantic search.
Strong technical leader with proven ability to drive architectural decisions, mentor teams, and manage large-scale end-to-end project delivery in complex environments.