I will build autonomous ai agents in n8n or langgraph with api tool calling

Most "AI automation" gigs just wire up no-code tools. I build real AI agents backend systems where the LLM decides which action to take and calls your actual APIs to do it: create a CRM record, send an email, check inventory, update a database, schedule a meeting. This is code-level function calling, not a drag-and-drop flow.

What you get:

• An AI agent (OpenAI function calling / Claude tool use) that understands a request and executes real actions
• Custom Python (FastAPI) or Node.js backend connecting the agent to your APIs/database/CRM
• Guardrails: the agent only calls the functions you define, with validation before execution
• Logging of every action the agent takes, so you can audit what it did

How it works:

1. Tell me what actions the agent needs to perform (e.g. "create a lead in HubSpot", "check order status in our DB", "send a Slack message").
2. I design the function schema, connect the LLM, and wire up each action to your real systems.
3. I test with real scenarios and hand over a working agent + documentation + logs.

Tech: Python (FastAPI, LangChain/OpenAI SDK) or Node.js, OpenAI/Anthropic function calling, REST API integrations.