AI/ML / Data Engineer
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Role details
Tech stack
Requirements
Strong evidence in Agentic AI, LLMs, prompting, and RAG Production implementation evidence in Python, APIs, cloud, and security At least one complete solution covering retrieval, tool execution, evaluation, deployment, and monitoring Broader background preference: Data platforms, BI, banking, and reporting Primary AI development experience and skillset of “2+ years” applies to the AI discipline broadly-not independently to every AI competency because Agentic AI development the way it exists currently is anyway last 4 years. The rest should be “preferred” as in JD. Solid data background in data engineering, management, ingestion, and delivery. These should be considered valuable differentiators
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