Agent基础设施研发工程师/架构师 - 计算
Core
Building enterprise-grade AI Agent Runtime and infrastructure for task execution, security, orchestration, and observability to enable stable production deployment of AI Agents.
Role type
Senior IC Infrastructure Engineer / Architect (AI Agent Runtime)
Builds
Enterprise AI Agent platform supporting task execution, sandboxed environments, resource scheduling, and observability for large-scale AI workloads.
Domain
AI Infrastructure / Cloud Native / Distributed Systems
Deliverable
production ML models | product features
Required skills
Go, Python, Java, C++, or Rust; Kubernetes, containers, virtualization, or sandboxing; distributed task scheduling and resource management; API Gateway, Service Mesh, or middleware; observability, SRE, and performance optimization; IAM, network security, multi-tenancy, or runtime isolation.
Preferred skills
Agent Runtime, code execution platforms, Serverless, CI/CD runners, online IDEs, or RPA; Firecracker, Kata Containers, gVisor, Wasm, Docker, or other isolation technologies; experience with Claude Code, Codex, OpenClaw, LangGraph, Dify, AgentScope, MCP/A2A, or similar Agent frameworks; multi-tenant platform or private cloud delivery experience.
Responsibilities
Design and build core capabilities for Agent task execution, state management, checkpointing, and lifecycle management; construct secure execution environments using containers, VMs, or sandboxes; develop task orchestration and resource scheduling for high-concurrency and multi-tenant scenarios; build observability and evaluation infrastructure for model and tool calls; collaborate with cross-functional teams to abstract customer needs into reusable platform capabilities; leverage AI-Native SDLC practices to improve engineering efficiency.
Seniority
Senior, hands-on IC