Agent开发工程师
Core
Design and build production-grade Agent products, integrating enterprise knowledge bases, RAG, memory systems, and multi-agent workflows for Tencent's business operations.
Role type
Senior Full-Stack Agent Engineer (LLM Ops)
Builds
Enterprise knowledge assistants, multi-agent collaboration platforms, and internal Agent infrastructure.
Domain
Gaming industry / Large Language Models / Enterprise Software
Deliverable
production ML models | product features | infrastructure
Required skills
JavaScript/TypeScript, React or Vue, Python, Go, Java, API design, database management, caching, asynchronous task processing, Agent Loop, Memory, Tool Calling, RAG, MCP, Planning, Multi-Agent systems
Preferred skills
Production-level Agent deployment, developer tooling, enterprise knowledge graph construction, LLM evaluation and feedback loops, multi-source database governance
Technologies
React, Vue, Python, Go, Java, Node.js, RAG, MCP, CI/CD
Responsibilities
Translate business requirements into technical solutions for Agent products; design and implement core Agent capabilities including knowledge bases and tool calling; integrate Agents with internal infrastructure and platforms; build benchmarking and observability systems for continuous optimization; establish production engineering and security standards.
Seniority
Senior, hands-on IC
