AI研发效能工程师/架构师-计算
Core
Build and implement an AI-driven R&D efficiency system for the computing R&D team, integrating AI capabilities into requirement analysis, coding, testing, deployment, and knowledge management to enhance delivery quality and speed.
Role type
Senior IC AI R&D Efficiency Engineer / Architect
Builds
AI efficiency platforms and tools (e.g., intelligent Q&A, code assistance, test generation, knowledge bases, workflow automation) for enterprise R&D scenarios.
Domain
Cloud computing / Software Engineering / AI Engineering
Deliverable
production ML models
Required skills
Software development lifecycle expertise, CI/CD and release management, Large Language Models (LLM) and Agent architecture, Enterprise knowledge base implementation, System design and architecture, Golang/Python/Java development, Cross-functional project leadership.
Preferred skills
Internal AI tool or R&D efficiency platform experience, Intelligent coding/testing automation, Cloud infrastructure and distributed systems, Cross-team platform productization.
Responsibilities
Design and construct AI efficiency platforms and tools; Identify high-value AI application scenarios and drive pilot-to-production; Integrate AI with existing R&D toolchains and engineering processes; Track and introduce new technologies in AI engineering and software intelligence.
Seniority
Senior, hands-on IC