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The candidate should be comfortable writing production-quality code, building APIs, integrating LLMs, and working with modern AI engineering frameworks and cloud platforms. You will work closely with product managers, architects, data scientists, and engineering teams to develop scalable, secure, and efficient AI-powered applications.\n Design, develop, and deploy Generative AI applications using Large Language Models (LLMs) and modern AI frameworks.\nBuild and maintain scalable backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django.\nImplement Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions using vector databases.\nIntegrate commercial and open-source LLMs into enterprise applications.\nDevelop prompt engineering workflows and support AI model evaluation and optimization.\nDeploy and support AI applications on AWS cloud platforms.\nParticipate in troubleshooting and optimizing AI systems for latency, reliability, scalability, and cost efficiency.\nCollaborate with cross-functional teams across onshore and offshore locations.\nWrite clean, maintainable, and testable code following software 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