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Mid-level fullstack AI role with common tech in Pune increases applicant competition.
Core fullstack skills transfer across industries, but LLM focus increases domain specificity.
Explicit 3+ years and mandatory Python, React and LLM experience enforce moderate filtering.
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Develop and maintain scalable backend applications and RESTful APIs using Python frameworks such as FastAPI or Flask.
Build responsive frontend interfaces with React.js and integrate LLM APIs (OpenAI, Anthropic, Google Gemini) into real product features.
Design and iterate on Retrieval-Augmented Generation (RAG) pipelines and apply prompt engineering to enhance AI feature reliability.
3+ years of professional experience in Python development.
Experience building REST APIs using FastAPI, Flask, or Django.
Working knowledge of React.js or Angular for frontend development.
On-site work in Pune, Maharashtra; immediate joining required.
Strong full stack engineering background with hands-on experience integrating Large Language Models into applications.
Comfortable working directly with modern AI tooling and frameworks like LangChain or LlamaIndex for RAG pipelines.
Ability to take significant ownership and collaborate cross-functionally to deliver production-quality AI-enhanced products.