后端资深研发工程师（AI Infra/制品方向）-开发者服务
Core
Design, develop, and evolve company-level R&D infrastructure systems covering compilation, artifact management, data distribution, and software supply chains, while building scalable AI training and inference infrastructure.
Role type
Senior IC Backend Engineer (AI Infrastructure & Developer Services)
Builds
Stable, high-performance platforms for multi-language/global R&D delivery; optimized AI training/inference clusters; AI extension ecosystem (Skill Market/Plugins) and AI-driven autonomous agents for DevOps tasks.
Domain
Software Engineering / AI Infrastructure / Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
Go, Java, C++, Python, Rust, Distributed Systems, Storage, Compute, Task Scheduling, Caching, Message Queues, Observability, System Design, Engineering Implementation
Preferred skills
DevOps, CI/CD, Build Systems, Artifact Repositories, Cloud Native, Software Supply Chain Security, AI Agents, RAG, Tool Calling, MCP/Skills, AI Evaluation, AI Observability, Global Multi-region Systems, AI Training/Inference Infrastructure, Open Source Contributions
Responsibilities
Architect and evolve R&D infrastructure systems; optimize AI training/inference infrastructure for high concurrency and scalability; build and govern the AI extension ecosystem; develop and deploy AI agents for autonomous DevOps problem solving; optimize large-scale distributed systems for throughput and reliability.
Seniority
Senior, hands-on IC
