美图后端研发工程师（Python）｜AI算法服务中台

任职要求

1. 本科及以上学历，3 年以上后端开发经验，精通 Python 后端开发，具备扎实的数据结构与系统设计能力
2. 熟悉Python主流 Web 框架（如 FastAPI / Flask / Django 等），理解异步编程模型与协程机制
3. 具备高并发、高可用系统设计经验，理解分布式系统基础（服务注册发现、负载均衡、限流熔断、降级策略等）
4. 熟悉 Linux 开发环境，理解 Docker 原理，具备 K8s 实践经验，理解容器调度与资源管理机制
5. 具备模型服务接入或外部 API 聚合经验，理解推理服务的性能特征、延迟控制与成本优化策略
6. 熟悉 Redis、消息队列（Kafka / RabbitMQ 等）或缓存与异步任务系统设计者优先


## 加分项

1. 有算法服务中台、技术中台或云原生平台建设经验
2. 有多模型调度、策略引擎或流量分发系统设计经验
3. 熟悉服务网格（Service Mesh）、可观测体系（Prometheus / OpenTelemetry 等）
4. 了解大模型推理架构、GPU 资源调度或推理性能优化
5. 有大规模系统稳定性建设经验（压测、容量规划、故障演练等）


## 我们提供

1. 从 0 到 1 参与 AI 算法服务中台架构设计与核心模块建设
2. 参与多模型能力接入与调度系统建设，解决真实高并发与成本优化问题
3. 技术决策空间充分，鼓励工程质量与系统设计能力提升
4. 入职配备最新款 MacBook Pro，提供 AI 工具支持（如 Cursor 等）
5. 扁平开放的技术氛围，与算法及业务团队深度协作


## 我们期待这样的你

1. 对系统架构与工程质量有追求，愿意构建可长期演进的技术体系
2. 对 AI 基础设施与模型工程化充满兴趣
3. 希望参与构建一个真正支撑业务规模增长的核心平台系统

欢迎加入我们，一起构建面向 AI 时代的高性能、可扩展的算法服务基础设施。

Backend Software Engineer (Python) | AI Algorithm Services Platform
About the Role
We are building a next-generation AI Algorithm Services Platform that standardizes the integration, orchestration, and governance of AI models and external algorithm providers. As a Backend Software Engineer, you will play a key role in designing and developing the engineering infrastructure that enables scalable, high-performance, and highly available AI services.
You will help create a unified platform for model onboarding, routing, scheduling, observability, and runtime governance, forming the foundation of AI-powered applications at scale.
Responsibilities
Design and implement engineering frameworks for AI algorithm services, including service packaging, containerization, deployment standards, and runtime governance.
Build and enhance a multi-model integration and orchestration platform, supporting model routing, concurrency control, rate limiting, circuit breaking, priority scheduling, and cost optimization strategies.
Architect and optimize backend systems for high-concurrency workloads, ensuring scalability, reliability, and fault tolerance under high-QPS and complex dependency scenarios.
Develop comprehensive observability capabilities, including logging, metrics, tracing, monitoring, and alerting, to improve system performance and resiliency.
Collaborate closely with AI researchers, product managers, and business teams to efficiently deliver AI capabilities and establish reusable engineering best practices.
Requirements
Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
3+ years of backend development experience with strong proficiency in Python.
Solid understanding of data structures, algorithms, software architectu…

工作职责

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