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Open nowPosted 59 days ago

【校招储备】算法工程师

lilithgames/intern60 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【校招储备】算法工程师lilithgames/intern · Shanghai, Chinese Mainland
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  6. 45.1%60 days
This job: posted 59 days ago

The posting

1. 负责LLM与Agent技术在游戏公司内部场景的落地应用,独立承担从需求拆解、方案设计到上线迭代的完整闭环。 2. 设计与构建LLM Agent系统,包括但不限于Agent架构设计(Planning、Memory、Tool Use、Multi-Agent协作)、Agent Harness与评测体系搭建、Skills/工具生态建设。 3. 运用Prompt Engineering、Context Engineering、RAG等技术优化LLM输出质量,使其对齐业务需求与人类偏好;负责RAG系统的架构设计、构建与持续优化。 4. 跟踪前沿模型与Agent技术进展(如Agent Skills、Computer Use、MCP、长程任务执行等),评估其在业务场景的适用性并推动落地。 5. 沉淀可复用的Agent基础设施与最佳实践,支持团队内多业务方向的LLM应用需求。

1.专业背景:数学、统计学、计算机、AI、软件工程等相关专业,2027届硕博毕业生。 2.编程能力:熟练掌握Python,具备良好的工程素养与代码规范意识;熟悉Linux、Git、Docker及后端服务开发,掌握RESTful API和SQL/NoSQL基础,理解并发、缓存等常见工程问题。 3.LLM基础:了解主流开闭源模型的能力边界、特性差异与适用场景,能根据业务需求进行模型选型与组合。 4.Agent能力:深入理解Agent架构、工具调用(Function Calling / Tool Use)、Agent Harness与评测、Skills体系及多Agent协作,具备完整的Agent系统设计与实现经验。 5.系统思维:能独立拆解复杂问题,将模糊需求转化为清晰的技术方案,并合理权衡可行性、成本与风险。 6.调研能力:能追踪、阅读并复现前沿论文与开源项目,独立完成技术方向的深度调研并输出可落地结论。 7.综合素质:具备良好的协作、沟通与逻辑思维能力,自驱且结果导向,能在有限指导下独立推进项目。

加分项: 1.有异步编程、消息队列、分布式服务等高并发实践经验。 2.有LLM微调(SFT、RLHF/DPO等)及多卡、分布式训练经验。 3.有LLM/Agent评测集或自动化评测流水线建设经验。 4.有高质量开源贡献、顶会论文或相关竞赛获奖经历。 5.具备Web前端基础,能独立搭建Demo或内部工具。 6.热爱游戏,对LLM与Agent技术在游戏领域的应用有思考。

*仅限预计26年12月--27年12月毕业的在校生投递,实习表现优秀者将有机会转正留用。

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