AI Agent Algorithm Engineer Graduate (Global E-Commerce, Conversational AI) - 2027 Start
Tasks
- Build LLM evaluation judge
- Build agent runtime
- Build self evolving replay user simulator
- Build training and evaluation data flywheel
- Calibrate human agreement
- Create regression safety and cost aware harnesses
- Design and integrate tools as APIs
- Engineer agent memory and context
- Implement automated policy improvement
- Implement automated root cause analysis
- Implement loop control and guardrails
- Implement tool and skill search
- Integrate MCP connectors
- Mask sensitive context observations
- Orchestrate skills tools and context
- Post train and fine tune large language models
- Reconcile offline and online evaluation
- Retrieve then load relevant context
- Run direct preference optimization
- Run reinforcement learning
- Run supervised fine tuning
- Serve LLM agents and measure business metrics
- Summarize and compact context
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Context Compaction | Context Summarization | Deep learning | Direct Preference Optimization | Evaluation | Fine Tuning | Go | Inference | Information Retrieval | Java | KV cache | LLM-as-judge | Language Models | Language Processing | Large Language Models | Machine Learning | Mixture of Experts | Model Serving | Natural Language | Natural Language Processing | Preference optimization | Prompt Caching | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Reward Modeling | Rust | Supervised Fine Tuning | TensorRT-LLM | Tool use | VLLM
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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