AI全栈研发工程师-AI数据与安全
Core
Design and implement a data synthesis, tool, and reinforcement learning environment management platform, focusing on workflow construction and task orchestration to support AI capability integration and product encapsulation.
Role type
Full-stack AI platform engineer (data synthesis & RL)
Builds
Data synthesis platform, tool platform, reinforcement learning environment management platform
Domain
Artificial Intelligence / Reinforcement Learning / Platform Engineering
Deliverable
production ML models
Required skills
Large model training paradigms, Reinforcement learning ecosystem knowledge, Frontend development, Backend development, Complex platform architecture design, Engineering optimization, Cross-functional collaboration
Preferred skills
Vibe Coding, Spec Coding, Full-stack engineering abstraction
Technologies
Frontend frameworks, Backend languages
Responsibilities
Design system architecture for platform products, Optimize service stability and interaction performance, Integrate AI models and tools into the product experience
Seniority
Mid-level, hands-on IC
