AI Agent效果优化工程师-Aime
Core
Build and optimize AI agents (Aime) for complex multi-task business scenarios by establishing a closed-loop of evaluation, root cause analysis, strategy tuning, and effect verification.
Role type
Senior IC AI Agent Optimization Engineer
Builds
High-performance AI agents and RAG systems for diverse business applications
Domain
Artificial Intelligence / Large Language Models (LLM) / Agent Systems
Deliverable
production ML models
Required skills
LLM/Agent development and evaluation, Prompt Engineering, RAG optimization, Root Cause Analysis, dataset construction, data analysis, code implementation
Preferred skills
Automated evaluation tool development, model API debugging, reverse engineering competitor products
Technologies
LLM frameworks, RAG architectures, Prompting frameworks, API interfaces
Responsibilities
Design and execute high-frequency effect experiments to improve performance metrics; Construct high-coverage evaluation datasets and acceptance criteria; Analyze daily agent operations to translate optimization insights into technical solutions; Track and deconstruct industry-leading agent products to inform optimization strategies.
Seniority
Senior, hands-on IC
