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 unified product experiences.
Role type
Full-stack AI platform engineer (RL & Data Synthesis)
Builds
Data synthesis platform, tool platform, reinforcement learning environment management platform
Domain
Artificial Intelligence / Reinforcement Learning / Data Engineering
Deliverable
production ML models
Required skills
Large model training paradigms, Reinforcement learning ecosystem, Vibe Coding/Spec Coding, Frontend development, Backend development, System architecture design, Engineering optimization, Cross-functional collaboration
Preferred skills
Full-stack engineering abstraction, Module decomposition, AGI technology passion
Technologies
Frontend frameworks, Backend languages, Workflow orchestration tools
Responsibilities
Design and implement platform features for data synthesis and RL environments; Optimize front-end and back-end architecture for stability and performance; Integrate AI models and tools to create unified, user-friendly product experiences.