AI Agent Algorithm Engineer Graduate (Global E-Commerce, Conversational AI) - 2027 Start (PhD)
Tasks
- Build agent runtime
- Create self evolving agent loop
- Design and integrate tools and connectors
- Engineer agent memory and context
- Implement evaluation with LLM judge
- Improve agents using offline online signals
- Post train and fine tune LLMs
- Ship agent system to production
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Agent Orchestration | C++ | Context Summarization | Cost Optimization | Deep learning | Direct Preference Optimization | Evaluation | Fine Tuning | Go | Human Feedback | Information Retrieval | Java | LLM Fine-tuning | LLM-as-a-Judge | Language Models | Language Processing | Large Language Models | Latency optimization | Learning from Human Feedback | Machine Learning | Model Serving | Natural Language | Natural Language Processing | Preference optimization | Python | RAG | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Reward Modeling | Rust | Safety evaluation | Supervised Fine Tuning | Tool use
Education
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