
搜狐【2027】大模型算法工程师-【引力计划】人才专项
校招全职地点:北京状态:招聘
工作描述
岗位职责: 1、负责多智能体系统(MAS)核心架构设计与研发,搭建标准化、可扩展的智能体协作底座,实现智能体角色编排、动态任务分配、A2A智能通信、协同决策、冲突协商与负载均衡,支撑复杂长周期任务的自动化闭环执行; 2、深耕Agentic Workflow 智能体工作流体系研发与优化,迭代升级智能体核心能力:分层任务拆解、动态规划执行、长短时记忆管理、工具链自适应调用、状态持久化、异常自愈与重试机制,提升智能体自主执行能力; 3、基于大模型、多模态大模型能力,设计轻量化、可插拔的智能体组件与通用能力模块,开发行业智能体原型系统,落地业务自动化、智能决策类场景,沉淀可复用的Agent技术资产; 4、跟进智能体前沿技术生态,深度研究并工程化落地主流框架与新型技术方案,包括但不限于 LangGraph、AutoGen、CrewAI、OpenClaw、AgentScope 等,对比不同架构在复杂任务、高并发场景下的效率、稳定性与适配性,完成技术选型与架构迭代; 5、主导智能体系统全链路优化与指标体系建设,聚焦推理效率、任务完成率、决策准确率、系统稳定性、并发吞吐量、调用成本、安全合规性核心指标,完成性能调优、故障治理与成本管控,支撑系统规模化上线; 6、跟踪全球Agentic AI、自进化智能体、多智能体强化学习、长文本推理、多模态智能协作、智能体安全治理等前沿技术,结合业务痛点开展…
登录查看完整工作描述
微信扫码,1秒登录
包括英文材料
智能体+
https://learn.microsoft.com/en-us/shows/ai-agents-for-beginners/
In this 10-lesson course we take you from concept to code while covering the fundamentals of building AI agents.
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
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
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
AutoGen+
https://microsoft.github.io/autogen/0.2/docs/Getting-Started/
AutoGen is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks.
https://www.youtube.com/watch?v=JmjxwTEJSE8
Whether you know everything there to AI Agents or are a complete beginner, I believe there is something to learn here.
高并发+
https://www.baeldung.com/concurrency-principles-patterns
In this tutorial, we’ll discuss some of the design principles and patterns that have been established over time to build highly concurrent applications.
https://www.baeldung.com/java-concurrency
Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.
https://www.oreilly.com/library/view/concurrency-in-go/9781491941294/
You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems.
https://www.oreilly.com/library/view/modern-concurrency-in/9781098165406/
With this book, you'll explore the transformative world of Java 21's key feature: virtual threads.
https://www.youtube.com/watch?v=qyM8Pi1KiiM
https://www.youtube.com/watch?v=wEsPL50Uiyo
性能调优+
https://goperf.dev/
The Go App Optimization Guide is a series of in-depth, technical articles for developers who want to get more performance out of their Go code without relying on guesswork or cargo cult patterns.
https://web.dev/learn/performance
This course is designed for those new to web performance, a vital aspect of the user experience.
https://www.ibm.com/think/insights/application-performance-optimization
Application performance is not just a simple concern for most organizations; it’s a critical factor in their business’s success.
https://www.oreilly.com/library/view/optimizing-java/9781492039259/
Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
学历+
还有更多 •••
相关职位
实习技术类
1.具备多模态大模型的相关知识,熟悉VLM、video VLM以及长视频内容理解,了解主流的开源模型。 2.熟悉VLM、video VLM的预训练、中训练、后训练等关键流程,具备数据处理、模型训练与评
更新于 2026-05-13上海
校招人力资源
工作职责: 1. 校园品牌传播: 通过校园社群、公众号、校园媒体等渠道,发布校招与雇主品牌信息,传递大疆技术与品牌理念; 2. 社群运营与活动策划: 搭建并活跃校招社群,定期组织线上/线下活动(如
更新于 2026-05-31深圳
实习人力资源
1. 本科及以上在校生,2027届毕业生优先; 2. 具备活动组织或校园推广经验,能高效执行任务; 3. 拥有丰富的校园人脉或渠道(如社团、学生会、校园媒体等)优先; 4. 执行力强,能适应快节奏工作
更新于 2026-04-17深圳