大模型算法工程师（Llm）-校招【27届】
Summary
Build and deploy LLM-based agent systems for automotive use cases, including reasoning pipelines, preference data training, and end-to-end applications for sales and support.
- Apply chain of thought and reflection for reasoning
- Build LLM agent systems for automotive scenarios
- Build reinforcement learning optimization pipeline
- Collaborate with product and engineering for model deployment
- Construct preference data and RLVR training data
- Deploy models with monitoring and A B testing
- Design model evaluation and iteration loops
- Develop end to end LLM applications for sales and customer support
- Implement multi step task planning with tools skills handoffs