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Role: AI Automation Engineer / Conversational AI Architect
Project-Based (Long-Term Potential)
We are building an AI Recruiting Assistant for a fleet management company that owns the full driver acquisition lifecycle — from first inbound message to onboarding-ready.
This assistant:
Chats naturally with CDL drivers
Uses a knowledge base to answer questions accurately
Qualifies drivers across multiple programs
Follows up autonomously
Pushes toward a clear conversion outcome
Hands off to humans only when needed
This is not a static chatbot.
It is an outcome-driven AI agent with memory, rules, and escalation logic.
🎯 Primary Objective
The AI assistant’s mission is simple:
Move qualified drivers from “interested” → “matched” → “documents submitted” → “ready for onboarding.”
Everything it does is in service of that outcome.
🧠 How the AI Assistant Should Work
1. Knowledge-Driven (Non-Hallucinating)
The assistant must answer questions only using an approved knowledge base, including:...