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This role requires strong technical leadership and proven experience in building production-grade AI systems end-to-end.\nKey Responsibilities\nDefine architecture and technical strategy for GenAI platforms and solutions\nLead design and implementation of complex RAG systems and agentic workflows\nDrive adoption of LangChain / LangGraph and advanced LLM orchestration frameworks\nArchitect high-performance vector search and retrieval systems\nOversee deployment strategies, including scalable cloud-native architectures\nEnsure reliability, observability, and governance of AI systems in production\nLead and mentor engineering teams; conduct design reviews and code reviews\nCollaborate with stakeholders to align AI solutions with business goals\nEvaluate and integrate new tools, models, and frameworks in the GenAI ecosystem\nRequired Skills\nExpert-level proficiency in Python\nExtensive experience with RAG, LLMs, and prompt engineering at scale\nStrong expertise in LangChain / LangGraph 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