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Open nowPosted 83 days ago

豆包大模型Agent Harness算法工程师 - 火山方舟

ByteDance19,260 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now豆包大模型Agent Harness算法工程师 - 火山方舟ByteDance · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 83 days ago

ByteDance median: 27 days open

The posting

团队介绍：火山方舟是火山引擎推出的一站式大模型服务平台，是中国大模型市场产品和份额领跑者。平台提供模型推理、评测、精调等全流程服务。方舟搭载了豆包及业界主流大模型，提供丰富的插件生态和AI应用开发服务，并通过稳定可靠的安全互信方案、专业的算法技术服务，全方位保障企业级AI应用落地。

1、参与火山方舟Managed-Agent相关的算法研发工作，参与方舟自有Harness的技术架构选型、设计、优化； 2、优化方舟自有Harness，包括但不限于Harness的运行模式、Buildin-Tools、Context机制、Multi-Agent协作调度、智能的辅助能力（模型选择、Advisor、Grader、Rlaphloop等等）； 3、和评测团队一起构建面向Harness迭代的Agent评测，构建全面、有效的Agent Harness端到端评测； 4、定义和实现Harness领域的前沿创新，与模型团队深度合作，参与实现模型与Harness的共同进化，从Harness的角度实现Harness与模型的深度适配。

1、2027届获得本科及以上学历，专业不限； 2、对Agent Harness有技术热情，对大模型和Agent有较深入的理解，有Agent Harness的优化经验；有使用AI Agent工具进行软件开发的经验；在软件开发领域具有良好的学习能力；能够在AI辅助下，进行有质量保证的编程工作； 3、了解模型和Agent Harness的基本机制及其技术原理（如LLM API、Reasoning、KV Cache、ToolUse、Skills、ReAct、Multi-Agent、MCP、A2A、FunctionCalling）； 4、了解和Agent评估方法、Agent构建、RAG检索技术等； 5、了解流行的各类Agent应用的原理和实现细节，如：OpenClaw、HermesAgent、Codex、ClaudeCode、Managed-Agents。

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