
转转AI 应用工程师(模型部署与行业落地方向)(J15235)
社招全职地点:北京状态:招聘♡ 收藏
工作描述
任职要求 同上 工作职责 岗位介绍 我们希望寻找一位具备扎实后端开发能力和模型落地经验的工程师,面向不同行业的实际业务需求,完成轻量模型的选型、微调、部署,以及 Agent Harness 的搭建与业务系统集成,推动 AI 能力从方案验证走向生产应用。 岗位职责 深入理解行业业务流程,将实际需求转化为可落地的 AI 技术方案,完成模型选型、效果验证、系统开发与上线交付。 负责 Java / Python 后端服务开发,建设模型调用接口、业务接口及数据处理链路,实现 AI 能力与现有系统的集成。 负责开源轻量模型及行业模型的私有化部署、推理服务搭建和性能优化,平衡模型效果、响应速度与资源成本。 根据业务场景构建和清洗训练数据,开展模型微调、效果评测与迭代,提升模型在行业任务中的准确性和稳定性。 搭…
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包括英文材料
后端开发+
https://www.youtube.com/watch?v=tN6oJu2DqCM&list=PLWKjhJtqVAbn21gs5UnLhCQ82f923WCgM
Learn what technologies you should learn first to become a back end web developer.
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.
Harness+
https://addyosmani.com/blog/agent-harness-engineering/
A coding agent is the model plus everything you build around it. Harness engineering treats that scaffolding as a real artifact, and it tightens every time the agent slips.
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
vLLM+
https://www.newline.co/@zaoyang/ultimate-guide-to-vllm--aad8b65d
vLLM is a framework designed to make large language models faster, more efficient, and better suited for production environments.
https://www.youtube.com/watch?v=Ju2FrqIrdx0
vLLM is a cutting-edge serving engine designed for large language models (LLMs), offering unparalleled performance and efficiency for AI-driven applications.
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