ai-engineer - Build production-ready LLM applications and AI agents
Develops production-ready LLM applications, advanced RAG systems, vector search, multimodal AI, and agent orchestration.
Tags
Updated: 2026-09-19Capabilities
Typical Inputs
What this skill does
- Build LLM applications
- Implement RAG systems
- Orchestrate multi-agent workflows
- Perform vector search indexing
- Integrate multimodal AI models
- Optimize prompt engineering
- Deploy LLM serving APIs
- Implement AI safety controls
Inputs
- User requirements and prompts
- Document and database data
- Model and system configurations
Outputs
- Production-ready AI application code
- RAG search and retrieval pipelines
- Configured AI agent workflows
- API services and model deployments
Requirements
- Access to LLM APIs or local inference servers
- Vector database access
- Python AI frameworks and libraries