Agent自进化算法工程师-AI Platform
Core
Design and implement an automated iteration loop (evaluation → attribution → analysis → optimization → re-evaluation) for Agent self-evolution using trace data.
Role type
Senior IC machine-learning engineer (Agent self-evolution)
Builds
Generalized Agent evaluation and attribution engines, automated optimization loops for prompts/tools/memory
Domain
Artificial Intelligence, Large Language Models, Agent Systems
Deliverable
production ML models
Required skills
Agentic framework development, Prompt optimization, Memory system design, Context management, Tool/Skill scheduling, Large model reasoning, Python, Machine learning, Attribution analysis, A/B testing
Preferred skills
Contrastive learning, Memory retrieval, AI coding tools
Responsibilities
Design automated iteration cycles for Agent self-evolution, Build evaluation and attribution engines to identify degradation patterns, Explore and standardize self-evolution methodologies, Collaborate with product teams to productize closed-loop capabilities
