73 lines
1.9 KiB
Markdown
73 lines
1.9 KiB
Markdown
# Job: 腾讯云 - AI Agent 测试工程师
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---
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type: job
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company: 腾讯
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role: 腾讯云-AI Agent测试工程师
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location: 深圳市
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source_url: https://careers.tencent.com/jobdesc.html?postId=2055555661177204736
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source_name: 腾讯招聘
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source_quality: official
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collected_at: 2026-07-08
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posted_at: 2026-06-03
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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: 2055555661177204736
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previous_snapshot:
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status: active
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level: experienced
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team: CSIG
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business_area: cloud agent testing
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employment_type: full-time
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salary:
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skills:
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- agent
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- agent-evaluation
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- observability
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- cloud
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- kubernetes
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- system-design
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topics:
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- agent-testing
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- harness-engineering
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models:
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-
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related_papers:
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- 2026-agentrx
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- 2025-vijayvargiya-openagentsafety
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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: medium
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---
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## Source Snapshot
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- source: 腾讯官方招聘页;搜索结果显示岗位名、业务线、地点和更新时间。
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- collected_at: 2026-07-08
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- availability: 官方 URL 可定位,但正文需要后续浏览器或 API 抽取。
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- note: 非北京岗位,作为 Agent 测试/评估需求信号保留。
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## Raw JD Summary
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搜索摘要显示该岗位要求理解 LLM 原理与局限,具备大型项目的 AI Harness Engineering 或 Agent 落地工程实践,并熟悉云原生、分布式存储和云数据库等工程基础。
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## Extracted Signals
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- hard requirements: Agent 测试、harness engineering、云原生和分布式基础设施。
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- hidden signals: 腾讯云把 Agent 测试作为独立工程岗位,说明 Agent 评估和可靠性正在产品化。
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- business direction: 云上 Agent 服务、企业级测试和质量保障。
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## Knowledge Links
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- concepts: evaluation, observability, trace, harness
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- papers: AgentRx, OpenAgentSafety
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- experiments: failed trajectory debugging
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- projects:
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## Gaps for Us
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- 需要整理 Agent 测试工程和 harness engineering 的方法论。
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