Collect first agent research and market sources
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# Job: 百度 - 2027AIDU Agent 应用全栈工程师
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---
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type: job
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company: 百度
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role: 2027AIDU-Agent应用全栈工程师
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location: 北京市
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source_url: https://talent.baidu.com/jobs/list?projectType=3&recruitType=GRADUATE
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source_name: 百度校园招聘
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source_quality: official
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collected_at: 2026-07-08
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posted_at: 2026-05-12
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first_seen_at: 2026-07-08
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last_checked_at: 2026-07-08
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snapshot_type: new
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job_code: J99974
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previous_snapshot:
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status: active
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level: graduate
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team: AIDU项目
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business_area: search / healthcare / enterprise service / data analysis / office automation
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employment_type: campus
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salary:
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skills:
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- agent
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- planning
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- tool-use
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- function-calling
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- memory
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- reasoning
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- state-management
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- multi-agent
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- rag
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- agent-evaluation
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topics:
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- workflow-agent
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- agent-architecture
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- evaluation
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models:
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-
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related_papers:
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- 2026-dialogue-swebench
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- 2026-swe-evo
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related_experiments:
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-
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related_projects:
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-
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relevance: high
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---
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## Source Snapshot
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- source: 百度官方招聘页
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- collected_at: 2026-07-08
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- availability: 页面可访问,岗位列表显示发布日期 2026-05-12。
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## Change Snapshot
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- first_seen_at: 2026-07-08
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- last_checked_at: 2026-07-08
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- snapshot_type: new
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- previous_snapshot:
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- changed_fields:
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## Raw JD Summary
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岗位强调构建下一代 Autonomous Agent 系统,要求从对话工具转向可执行任务的智能体,覆盖 planning、acting、reflection、Tool/API 调用、长短期记忆、多轮推理、状态管理、多 Agent 协作、RAG 融合和 Eval。
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## Responsibilities
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- 构建具备任务执行能力的 Agent 应用系统。
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- 搭建 Tool/API、memory、reasoning、state 等核心能力。
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- 推动 Agent 在搜索、医疗、企业服务、数据分析和自动化办公等场景落地。
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## Extracted Signals
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- hard requirements: full-stack Agent engineering, tool/function calling, memory, state, eval。
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- preferred skills: 前沿方向跟踪,包括 Tool Learning、Self-Improvement、World Model、多模态 Agent。
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- hidden signals: 全栈岗位已经不只是 Web 工程,开始要求 Agent runtime 和评估能力。
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- business direction: 企业服务、数据分析、自动化办公。
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## Knowledge Links
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- concepts: workflow-agent, human-in-the-loop, eval
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- papers: Dialogue-SWEBench, SWE-EVO
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- experiments: workflow-agent prototype
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- projects:
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## Gaps for Us
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- 需要补一个 Agent runtime / state management 的工程专题。
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- 需要整理 Tool Learning 和 Self-Improvement 的论文清单。
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