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Mid-level fullstack AI role in a metro with recognisable brand drives high competition.
AI-focused fullstack skills (React, Node, LLMs) are broadly transferable across industries.
Mandatory 5–8 years plus specific frontend/backend stack and LLM experience enforces high filtering.
Build and maintain AI platform interfaces including SDKs, developer tools, and reference applications for the Experience Layer.
Design and implement AI-native user experiences such as streaming responses, agent workflows, and error handling.
Develop backend services including APIs, retrieval pipelines, model orchestration, caching, and ensure quality through evaluation frameworks and feedback capture.
5 to 8 years of experience building and shipping production-grade full stack applications.
Strong front-end skills with TypeScript and React; backend experience with Node.js, Python, or Golang.
Experience designing scalable APIs and cloud-native services.
Hands-on experience with large language models (LLMs) including APIs, streaming, retrieval-augmented generation, tool usage, agents, or conversational AI.
Experienced full stack developer skilled in AI platform and user experience engineering with a product mindset.
Capable of working independently in ambiguous, fast-paced environments with strong collaboration and communication skills.
Focused on engineering excellence through reusable patterns, documentation, and cross-functional partnership in AI product development.