研发平台质量风控Leader-产品研发和工程架构
Core
Building risk control capabilities for the Dev Infra R&D platform to ensure high-quality delivery in an AI-driven development model.
Role type
Senior IC machine-learning engineer (risk control & DevOps)
Builds
Full-link risk control system covering development, testing, and release processes for Harness Engineering
Domain
Software Engineering / AI / Large Language Models
Deliverable
production ML models
Required skills
Distributed system architecture, Large language model application development, Agent product technology, Model evaluation, Risk identification strategies, Release process optimization
Preferred skills
Vibe coding, SDD, SDT research and practice
Technologies
Harness Engineering, Multi-modal large models, Context engineering
Responsibilities
Design and implement risk identification and interception strategies for development, testing, and release; Optimize risk detection effectiveness; Define quality and release standards; Architect risk control systems for AI-led development modes.