腾讯云 -AgentRuntime研发负责人(深圳/北京)
Core
Architecting and leading the development of a leading Agent Infra platform to support agentic agents, large model reinforcement learning training, and agent efficiency improvements.
Role type
Senior IC machine-learning engineer (agent infrastructure)
Builds
Agent Infra platform covering large model RL training, agentic agent construction, and agent efficiency
Domain
AI / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Agent architecture design, large model principles, reinforcement learning, system engineering, containerization, network governance, tool calling, memory management, identity management, orchestration, data synthesis, evaluation, inference acceleration
Preferred skills
Harness Engine design, builder mindset, hands-on development, industry trend analysis
Technologies
Containers, Networks, Storage, Compute
Responsibilities
Define capability systems for agentic agents in sandbox execution, tool calling, memory, network governance, identity, and orchestration; Lead engineering teams to reshape R&D and management with AI-native approaches; Build deterministic, observable, and evaluable agent execution frameworks.