ai-engineer - Build Production-Ready LLM Applications
Build production-ready LLM applications, advanced RAG systems, and intelligent agents
Tags
Updated: 2026-05-09Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Build LLM applications
- Implement RAG systems
- Deploy AI agents
- Create chatbots
- Configure vector databases
- Implement embedding models
- Set up reranking
- Select models
- Manage context
- Design multi-agent systems
Inputs
- API keys
- User queries
- Document data
- Domain knowledge
- Vector database
- Context requirements
- Performance metrics
- Budget constraints
Outputs
- LLM applications
- RAG systems
- AI agents
- Chatbots
- Model architectures
- Vector database configurations
- Embedding models
- Reranking configurations
Requirements
- Multi-model API access
- File system read/write access
- Bash execution access
- Web fetching capability
- Vector database support
- Tool execution environment