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任職要求 / Qualifications 經(jīng)驗：5–8 年軟件/數(shù)據(jù)/ML 經(jīng)驗，2+ 年 LLM/Agentic 實戰(zhàn)，負責過?產(chǎn)級智能體或 GenAI 應?。 5–8 years in SWE/Data/ML, 2+
years hands-on with LLM/agentic systems in production. 技術棧：精通 Python 或 TypeScript；熟悉 LangGraph/Semantic Kernel/?研編排器 等之?；掌握
FAISS/Milvus/Pinecone/Elasticsearch 任?。 Strong Python
or TypeScript; familiar with LangGraph/Semantic Kernel/custom orchestrators;
one of FAISS/Milvus/Pinecone/Elasticsearch. ?程能?：具備函數(shù)/?具調?、結構化輸出（JSON/Schema 校驗）、多步規(guī)劃/反思/?修復實踐；能把 業(yè)務規(guī)則固化為 Guardrails。 Proven tool/function calling, structured outputs (JSON/schema
validation), multi-step planning/reflection/self-repair; encode rules as
guardrails. 溝通：英語流利，能與海外客戶/團隊?效溝通。 Fluent English for effective collaboration with global
customers/teams. 加分項（Plus）：指令微調/LoRA/DPO、ServiceNow/Salesforce 集成、數(shù)據(jù)駐留實踐。
Nice-to-haves: instruction tuning/LoRA/DPO, ServiceNow/Salesforce integrations,
data residency practice.