8 lines
5.3 KiB
JSON
8 lines
5.3 KiB
JSON
{"candidate_id": "cand_大模型应用工程师", "action": "accept", "operator": "王蕾（评审专家）", "reason": "岗位簇证据充分：40+ 条 JD、独立企业数达标，2024 年起持续高增长，技能结构清晰，准予入库。", "before": {"job_id": "cand_大模型应用工程师", "title": "大模型应用工程师", "category": "新岗位候选", "required_skills": ["提示词工程", "Python", "LangChain", "大模型应用开发", "NLP"], "preferred_skills": ["模型微调", "向量数据库", "RAG"], "responsibilities": ["负责智能助手/企业知识库等大模型应用的开发与落地", "设计提示词与流程编排，建设应用评测体系", "优化推理成本与延迟，跟进生态工具"], "scenarios": ["教育", "医疗", "金融"], "expected_years": 3, "status": "pending", "source_count": 42, "company_count": 38}, "after": {"job_id": "cand_大模型应用工程师", "title": "大模型应用工程师", "category": "新岗位候选", "required_skills": ["提示词工程", "Python", "LangChain", "大模型应用开发", "NLP"], "preferred_skills": ["模型微调", "向量数据库", "RAG"], "responsibilities": ["负责智能助手/企业知识库等大模型应用的开发与落地", "设计提示词与流程编排，建设应用评测体系", "优化推理成本与延迟，跟进生态工具"], "scenarios": ["教育", "医疗", "金融"], "expected_years": 3, "status": "active", "source_count": 42, "company_count": 38}, "time": "2026-07-18 10:24:31"}
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{"candidate_id": "cand_RAG工程师", "action": "modify", "operator": "李强（评审专家）", "reason": "簇内 JD 普遍要求检索引擎实操经验，补充 Elasticsearch 为必备技能后入库。", "before": {"job_id": "cand_RAG工程师", "title": "RAG工程师", "category": "新岗位候选", "required_skills": ["Python", "RAG", "向量数据库", "大模型应用开发", "LangChain"], "preferred_skills": ["模型微调", "知识图谱"], "responsibilities": ["负责检索链路搭建与召回重排优化", "建设知识库加工流水线，评估问答质量"], "scenarios": ["金融", "政务", "教育"], "expected_years": 3, "status": "pending", "source_count": 28, "company_count": 22}, "after": {"job_id": "cand_RAG工程师", "title": "RAG工程师", "category": "新岗位候选", "required_skills": ["Python", "RAG", "向量数据库", "大模型应用开发", "LangChain", "Elasticsearch"], "preferred_skills": ["模型微调", "知识图谱"], "responsibilities": ["负责检索链路搭建与召回重排优化", "建设知识库加工流水线，评估问答质量"], "scenarios": ["金融", "政务", "教育"], "expected_years": 3, "status": "active", "source_count": 28, "company_count": 22}, "time": "2026-07-19 15:02:11"}
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{"candidate_id": "cand_元宇宙社区运营", "action": "reject", "operator": "王蕾（评审专家）", "reason": "簇内 JD 仅 5 条且集中于 2 家企业，近一年增长不明朗，证据不足，暂不入库。", "before": {"job_id": "cand_元宇宙社区运营", "title": "元宇宙社区运营", "category": "新岗位候选", "required_skills": ["用户增长", "竞品分析"], "preferred_skills": ["数据分析"], "responsibilities": [], "scenarios": ["社交", "游戏"], "expected_years": 3, "status": "pending", "source_count": 5, "company_count": 2}, "after": {}, "time": "2026-07-21 09:41:03"}
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{"kind": "node_update", "node_id": "job_Java开发工程师", "operator": "张铭（领域专家）", "reason": "2024 年后分布式系统已成为该岗位核心要求，上调该关系权重。", "before": {"weight": 0.82}, "after": {"weight": 0.95}, "time": "2026-07-23 14:12:55"}
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{"kind": "node_update", "node_id": "Kubernetes", "operator": "张铭（领域专家）", "reason": "词表归类校正：由未标注类别调整为云原生类别。", "before": {"category": ""}, "after": {"category": "云原生"}, "time": "2026-07-23 14:15:20"}
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{"candidate_id": "cand_提示词工程师", "action": "accept", "operator": "陈静（评审专家）", "reason": "2024 年起多家企业独立设岗，职责与传统运营岗差异显著，予以入库观察。", "before": {"job_id": "cand_提示词工程师", "title": "提示词工程师", "category": "新岗位候选", "required_skills": ["提示词工程", "大模型应用开发", "Python", "数据分析"], "preferred_skills": ["LangChain", "RAG", "AI产品"], "responsibilities": ["负责提示词设计与模板库沉淀", "评估输出质量，编写最佳实践文档"], "scenarios": ["教育", "电商", "广告"], "expected_years": 3, "status": "pending", "source_count": 18, "company_count": 14}, "after": {"job_id": "cand_提示词工程师", "title": "提示词工程师", "category": "新岗位候选", "required_skills": ["提示词工程", "大模型应用开发", "Python", "数据分析"], "preferred_skills": ["LangChain", "RAG", "AI产品"], "responsibilities": ["负责提示词设计与模板库沉淀", "评估输出质量，编写最佳实践文档"], "scenarios": ["教育", "电商", "广告"], "expected_years": 3, "status": "active", "source_count": 18, "company_count": 14}, "time": "2026-07-25 11:30:44"}
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{"kind": "node_update", "node_id": "job_运维工程师（SRE）", "operator": "李强（评审专家）", "reason": "按 2026 年 JD 样本补全岗位级别标注。", "before": {"level": null}, "after": {"level": "中级"}, "time": "2026-07-28 16:48:09"}
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