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Generalist mid-level fullstack role in Bangalore with broad skillset and known analytics brand increases competition significantly.
Core full-stack skills transfer broadly, but enterprise GenAI and cloud experience raise industry specificity.
Explicit 6+ years and mandatory React, Node, cloud, containers, testing, and AI integration increase shortlisting strictness.
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Own and deliver critical full-stack features including front-end, back-end, APIs, cloud-native services, and AI-enabled applications with strong engineering ownership.
Translate technical architecture and AI use cases into scalable, secure, and production-ready solutions while enforcing code quality, testing, performance, and secure development practices.
Mentor junior engineers, troubleshoot implementation issues promptly, and contribute to continuous improvement, automation, and reusable engineering assets.
6+ years of hands-on experience building enterprise-grade full-stack applications including React and Node.js backend skills.
Strong expertise in JavaScript/TypeScript, React, Node.js frameworks (Express, NestJS), REST API design, and cloud platforms such as Azure, AWS, or GCP.
Experience with containerization tools like Docker and Kubernetes, automated testing frameworks, and understanding of secure SDLC and CI/CD pipelines.
Hands-on experience integrating AI capabilities using LLM APIs, prompt engineering, retrieval-augmented generation, and implementing AI feature monitoring and guardrails.
Experienced in designing and delivering complex, scalable full-stack solutions that combine front-end, back-end, cloud services, and AI-powered features.
Technical leader comfortable acting as a key technical point of contact with strong troubleshooting skills and ability to collaborate with architects, TPMs, and cross-functional teams.
Capable of driving engineering excellence through mentoring, reusable asset creation, continuous improvement, and adherence to high-quality secure development practices.