AI Agent Algorithm Engineer Graduate (Global E-Commerce, Affiliate) - 2027 Start
Tasks
- Build LLM evaluation harnesses
- Build agent runtime
- Calibrate human agreement for evaluation
- Create self evolving improvement loop
- Create training eval retrieval data pipeline
- Design tools and MCP connectors
- Engineer agent context and memory
- Implement tool and skill search
- Own end to end agent surface and ship to production
- Post train and fine tune LLMs
Perks/Benefits
- N/A
Skills/Tech-stack
Agent runtime | C++ | Context Summarization | Deep learning | Direct Preference Optimization | Evaluation Harness | Fine Tuning | Go | Human Agreement Calibration | Java | KV cache | LLM Evaluation | LLM-as-a-Judge | Language Models | Language Processing | Large Language Models | MCP | Machine Learning | Mixture of Experts | Natural Language | Natural Language Processing | Preference optimization | Prompt Caching | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Reward Modeling | Rust | Safety evaluation | Supervised Fine Tuning | TensorRT-LLM | Tool use | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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