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Description: Area(s) of responsibility - - Ability to perform customer demonstration , lead use-case workshops - 9+ years of hands-on experience in software engineering, with at least 1+ years in AI/GenAI engineering. - Strong proficiency in Python, APIs, microservices, and cloud-native design. - Demonstrated experience with LLMs, embeddings, vector databases, and RAG pipelines. - Practical knowledge of AI fundamentals, ML algorithms, probability, optimization, and LLM architecture. - Deep understanding of Agentic AI principles, agent design patterns, tool orchestration, and autonomous task execution. - Experience with Microsoft Foundry (Azure AI Studio / Fabric) and/or AWS Bedrock for building GenAI applications. .