Ai 运营
Tasks
- Align AI requirements and acceptance
- Analyze user model interaction data
- Build multi step tool calling pipelines
- Construct prompt knowledge base
- Coordinate with product and engineering teams
- Create evaluation metrics
- Design prompt templates
- Develop AI Agent workflows
- Evaluate multimodal models
- Integrate MCP
- Integrate skills framework
- Maintain prompt assets library
- Optimize system prompts
- Perform automated model evaluation
- Research and evaluate large language models
- Run A/B tests
- Tune model parameters
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Agents | API Integration | B testing | Chain-of-Thought | Few-Shot Learning | Few-shot | Function Calling | LLM-as-judge | Language Models | Large Language Models | Long Context | MCP | Multimodal Models | NumPy | Pandas | Prompt engineering | Python | RAG | RLHF | SQL | Self-Consistency | Tool use | Transformer
Education
N/A
Roles
AI | AI Operations Engineer | AI/Agent Engineer | Agent Engineer | Engineer | Operations Engineer
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