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Broad fullstack+AI requirements, generic title, and Bangalore location increase candidate competition.
Fullstack engineering with GenAI emphasis is moderately industry-specific yet transferable across product teams.
Explicit 6+ years requirement plus mandatory React/Node, cloud, containers, and AI filters.
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Own and deliver critical full-stack features across web applications, APIs, cloud-native services, and AI-enabled capabilities with high quality and minimal oversight.
Translate architecture designs into scalable, secure, and production-ready implementations while enforcing engineering standards in code quality, testing, security, and DevOps.
Troubleshoot and resolve implementation challenges quickly, mentor junior engineers, and contribute to continuous improvement and reusable assets.
6+ years of hands-on experience in enterprise-grade full-stack application development with ownership from design through delivery.
Strong expertise in React and JavaScript/TypeScript, with back-end experience in Node.js or Python frameworks (FastAPI, Django, Flask).
Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker, Kubernetes), CI/CD pipelines, and secure SDLC practices.
Hands-on experience integrating AI capabilities including LLM APIs, prompt design, retrieval-augmented generation (RAG), tool/function calling, and AI feature monitoring and guardrails.
Experienced in translating complex architectural intents into maintainable, scalable AI-enabled full-stack solutions in cross-functional teams.
Capable technical troubleshooter able to maintain high engineering quality while resolving production and implementation issues.
Familiar with continuous improvement culture including mentoring, reuse, automation, and capability building within collaborative Agile or client-facing delivery environments.