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Popular fullstack role, Bangalore metro, and broad AI-plus-fullstack skillset increase candidate competition.
Fullstack engineering is transferable across industries, but GenAI specialization creates moderate domain bias.
Explicit 8–12 years requirement plus mandatory AI, fullstack, and deployment skills creates high strictness.
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Own end-to-end design, integration, and deployment of AI-enabled full stack solutions using Python, React.js, and Node.js.
Work as technical owner responsible for product delivery from solution design through production deployment and ongoing support.
Implement and maintain system integrations including REST APIs, authentication, and enterprise service integrations with focus on reliability and performance tuning.
8–12 years of software engineering experience with full product lifecycle ownership.
Strong hands-on skills in React.js, Python, Node.js, JavaScript/TypeScript, npm, and modern build tooling.
Experience with system integrations: REST APIs, webhooks, authentication, and enterprise services.
Experience with GenAI / Agentic AI workflows including LLM APIs (OpenAI, Azure, Anthropic), prompt design, RAG patterns, and related AI orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel).
Experienced in production deployment, debugging, performance tuning, and reliability engineering in end-to-end product environments.
Demonstrates technical ownership engaging from design to CI/CD pipeline management and secure engineering practices.
Strong background integrating AI/GenAI technologies with scalable full stack applications in real-world production scenarios.