Agent技术研发工程师-火山方舟大模型平台
Core
Design and build core systems for the Agent platform, focusing on high-reliability, scalable runtime environments and execution engines for complex tasks.
Role type
Senior IC machine-learning engineer (Agent infrastructure)
Builds
General-purpose Agent infrastructure, execution engines, and productized platform capabilities for developers.
Domain
Cloud-native AI infrastructure and large model agent systems
Deliverable
production ML models
Required skills
Python, Golang, Rust, or Java; system design; AI coding tools; large model and Agent technology principles; tool calling; context management; long-horizon execution; self-involve mechanisms; cloud-native architecture; distributed systems; task scheduling; observability; resource isolation; network access control.
Preferred skills
Prior experience in Agent system implementation; enterprise-level platform or infrastructure system development; rapid reproduction of research papers; open-source contributions.
Responsibilities
Develop core Agent systems and execution engines; enhance execution efficiency, security, and stability; productize platform capabilities for complex business scenarios; explore innovative Agent methods and technologies.
Seniority
Senior, hands-on IC
