AI is moving at light speed. Companies that build autonomous AI agents, document search engines, and intelligent customer support bots are gaining massive competitive moats. Here is how to hire the right AI engineer on AMFreelance.
1. The RAG vs Fine-Tuning Decision
An experienced AI engineer will almost always recommend Retrieval-Augmented Generation (RAG) over expensive model fine-tuning for 95% of business use cases. RAG lets your AI search your private PDFs, Notion docs, and databases with zero hallucination and real-time freshness.
2. Essential AI Tech Stack Checklist
- Frameworks: LangChain, LlamaIndex, CrewAI for multi-agent workflows
- Models: OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, open-source Llama 3 via Ollama
- Vector Databases: Pinecone, Qdrant, pgvector (PostgreSQL), Weaviate
- Backend: Python (FastAPI), Node.js, and Redis caching for sub-500ms token streaming