AI应用开发工程师-互联网风控
Core
Design and implement AI agents and RAG-based applications for internet risk control scenarios, optimizing stability, success rates, and costs.
Role type
AI application development engineer (LLM/Agent/RAG)
Builds
Risk control agents, knowledge-based Q&A assistants, and evaluation systems
Domain
Internet risk control / Financial technology
Deliverable
production ML models
Required skills
LLM application architecture, Agent development, RAG implementation, Prompt engineering, Data evaluation and benchmarking, Database and caching principles, Message queue systems, System design
Preferred skills
High-concurrency financial scenario experience, AI safety and compliance knowledge, 0-1 project building experience
Technologies
Java, PHP, C++, Go, Python, LangChain
Sourced via bytedance · Listed on CareerPlan, which tracks 877,000+ jobs from 20+ sources.