How to Hire an AI Agent Developer

Short answer

To hire an AI agent developer, look for someone who understands LLM APIs, tool calling, retrieval, API integrations, evaluation, deployment, and failure handling. A developer who only shows chatbot demos is usually not enough for a production agent project.

The best AI agent developers can explain how the agent decides what to do, how it uses tools, how it handles bad inputs, and how success will be measured.

Core skills to look for

• LLM API experience with providers such as OpenAI, Anthropic, or Google models.
• Tool calling and function calling design.
• RAG, embeddings, chunking, and retrieval evaluation for document-heavy systems.
• API integration with CRMs, helpdesks, internal tools, databases, and workflow systems.
• Monitoring, logging, test cases, and human-in-the-loop approval patterns.

Portfolio signals

A strong portfolio should include more than screenshots. Look for working demos, architecture notes, connected tools, test cases, and a clear explanation of failure modes. For RAG projects, ask for citation accuracy and retrieval examples. For workflow agents, ask how failed tool calls are handled.

Red flags

• They describe every project as prompt engineering.
• They cannot explain evaluation or monitoring.
• They promise full autonomy without discussing risk.
• They have no plan for permissions, private data, or escalation.
• They cannot separate a chatbot, workflow automation, RAG system, and agentic workflow.