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22 LPA\n\nNote: This is one of the stronger production-oriented Gen AI opportunities, not just a prompt-engineering or chatbot-development role.\n\nKey Responsibilities:\n\n- Design, develop, and implement production-ready Gen AI / LLM-based applications.\n\n- Build and optimize RAG pipelines using embeddings and vector databases.\n\n- Develop prompt engineering solutions and integrate LLM APIs.\n\n- Work with frameworks such as LangChain and LlamaIndex.\n\n- Debug, enhance, and maintain existing Gen AI platforms and codebases.\n\n- Build reusable Gen AI frameworks, workflows, and AI agent configurations.\n\n- Collaborate directly with clients on technical and business requirements.\n\n- Support application deployment, monitoring, and optimization.\n\nRequired Skills:\n\n- Strong hands-on Python programming experience.\n\n- Practical experience in Generative AI and LLM application development.\n\n- Expertise in Prompt Engineering and OpenAI / Anthropic APIs.\n\n- Hands-on experience 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