AI研发工程师（CodeAgent应用场景） - 火山引擎
Core
Build an enterprise-level 'AI Factory' using TRAE to automate the full R&D lifecycle (requirements, coding, testing, CI/CD, delivery) and embed AI programming capabilities into enterprise development pipelines.
Role type
Senior IC AI Engineering Product Engineer (R&D Automation)
Builds
End-to-end AI Engineering workflows, AI-driven R&D toolchains, and multi-agent collaboration systems for enterprise clients.
Domain
Cloud & AI Platform / Enterprise R&D Efficiency / DevOps
Deliverable
production ML models | product features
Required skills
Enterprise R&D lifecycle expertise, DevOps platform development, AI coding tools (TRAE/Cursor/Claude/Codex), System design, LLM & Agent architecture (RAG, tool use, multi-agent orchestration)
Preferred skills
AI Coding product from 0 to 1, Enterprise asset data center & semantic search, MCP protocol, Multi-agent frameworks (LangGraph/AutoGen), Large-scale R&D transformation
Technologies
TRAE, MeeGo, JIRA, Git, CI/CD, Go, Python, TypeScript, Java, LangGraph, AutoGen, RAG
Responsibilities
Design and implement end-to-end AI Engineering workflows connecting requirement management, code hosting, and release systems; Develop features embedding AI programming capabilities into the R&D pipeline; Explore multi-agent collaboration modes covering requirement breakdown, coding, review, and testing; Integrate TRAE with enterprise asset data centers for semantic retrieval and knowledge RAG; Track and integrate frontier AI programming tools and best practices into the product system.
Seniority
Senior, hands-on IC