Integrates LLM-powered pipelines into an internal AI platform running on Databricks that automates data tasks like product categorization, translation, and enrichment. Daily work involves connecting foundation models via APIs, building Python (FastAPI) services, using orchestration frameworks like LangChain, and optimizing latency, token usage, and hallucination evaluation.
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