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Tier-1 brand, metro location, and popular full-stack title drive high candidate competition.
Strong AI and full-stack requirements make background moderately sensitive but still transferable across industries.
Explicit 8+ years and multiple mandatory AI, frontend, backend, and cloud skills create strict shortlisting.
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Design, develop, deploy, and support AI-powered applications following AI Development Lifecycle (AIDLC) principles for scalable, production-ready solutions.
Collaborate with Applied Scientists, Product Teams, and Engineers to operationalize AI/ML and Generative AI capabilities into business workflows and enterprise applications.
Lead full stack development using React, Next.js, Node.js, Python, and cloud-native platforms, ensuring secure, performant, observable, and cost-efficient AI applications.
Bachelor's degree in Computer Science, Engineering, IT, Artificial Intelligence, Data Science, or related field.
At least 8 years of experience in software engineering, AI/ML engineering, or full stack application development.
Hands-on experience with Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
Proficiency with React, Next.js, TypeScript, Node.js, Python, cloud platforms (Azure/AWS/GCP), API and microservices development, MLOps, CI/CD, and application security.
Experienced mid-senior level engineer with strong AI/ML and full stack development skills focused on building scalable AI solutions within production environments.
Comfortable working cross-functionally with data scientists, engineers, and product teams to translate requirements into operational AI applications.
Adequate background in secure, observable cloud-native architectures and modern frontend/backend technologies aligned with enterprise AI deployment.