百度AI产品经理(企业效能方向)(J101301)
社招全职安全与企业效率平台地点:北京状态:招聘
任职要求
-具备良好的产品Sense与痛点洞察力 -具备大语言模型的应用经验,对大模型能力边界、如何编写高质量Prompt等有较清晰的认知 -熟悉Agentic Workflow的使用或构建,拥有基于AI实现 ≥ 1个提效Workflow/完整产品的经验,能持续稳定产出 -具…
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工作职责
-负责企业工作流的识别与分析,深入到IT、安全、工程等场景,洞察组织流程、效率相关的痛点与瓶颈 -负责AI Agent方向的探索与落地,推动OpenClaw、Hermes等框架在工作会议、企业招聘、数字员工等多种场景中实际落地 -紧密协调技术团队完成智能体设计、开发与沙盒实验,搭建效果指标看板,保障企业组织效率问题可观测、可量化 -推动技术、业务、运营等团队成员,明确协作机制,牵头负责智能体产品设计、开发、运营的全流程管理,对产品效果负责 -结合产品运营数据与用户反馈,持续改善Agent效果、复盘并迭代产品,保障企业效率实质提升
包括英文材料
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!