任职要求 / Qualifications 经验：5–8 年软件/数据/ML 经验，2+ 年 LLM/Agentic 实战，负责过⽣产级智能体或 GenAI 应⽤。 5–8 years in SWE/Data/ML, 2+
years hands-on with LLM/agentic systems in production. 技术栈：精通 Python 或 TypeScript；熟悉 LangGraph/Semantic Kernel/⾃研编排器 等之⼀；掌握
FAISS/Milvus/Pinecone/Elasticsearch 任⼀。 Strong Python
or TypeScript; familiar with LangGraph/Semantic Kernel/custom orchestrators;
one of FAISS/Milvus/Pinecone/Elasticsearch. ⼯程能⼒：具备函数/⼯具调⽤、结构化输出（JSON/Schema 校验）、多步规划/反思/⾃修复实践；能把 业务规则固化为 Guardrails。 Proven tool/function calling, structured outputs (JSON/schema
validation), multi-step planning/reflection/self-repair; encode rules as
guardrails. 沟通：英语流利，能与海外客户/团队⾼效沟通。 Fluent English for effective collaboration with global
customers/teams. 加分项（Plus）：指令微调/LoRA/DPO、ServiceNow/Salesforce 集成、数据驻留实践。
Nice-to-haves: instruction tuning/LoRA/DPO, ServiceNow/Salesforce integrations,
data residency practice.