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Tier-1 brand, metro location, mid-level title but niche AI/LLM specialization reduces applicant density.
Front-end skills are transferable but required AI/LLM agent experience increases domain specificity.
Explicit 2–4 year requirement plus mandatory frontend and LLM integration skills creates strict filtering.
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Build and maintain scalable, reusable front-end applications integrated with AI services including LLM-based agents and orchestration frameworks.
Design and implement AI-powered user experiences and prompt engineering strategies using agent development frameworks like LangChain or LangGraph.
Collaborate with backend, AI, and product teams to deliver high-quality UX and intelligent automation features, including debugging and performance optimization.
2–4 years of relevant experience in front-end development with AI/LLM integrations.
Strong proficiency in vanilla JavaScript, HTML5, CSS, and asynchronous request handling (AJAX).
Hands-on experience with agent development frameworks (e.g. LangChain, LangGraph), prompt engineering, and API-based LLM integrations.
Consistent academic background with 60%+ marks; strong understanding of OOPS and Data Structures.
Experienced in building AI-driven front-end features and integrating complex LLM-based workflows into production applications.
Able to independently solve complex technical problems including debugging AI-driven flows with strong analytical skills.
Comfortable working in a collaborative environment involving backend, AI, and product teams, delivering pixel-perfect UI implementations with a focus on quality automation.