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AI Automation Architect Needed — Retell AI Voice System + Twilio + n8n + GHL Integration

Search - API Integration · ai_analyzed · UID ~022076545286867773349

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Job Details

Budget Unknown
ExperienceIntermediate
DurationUnknown
Weekly hoursUnknown
Client countryservice business and our current lead response process is bro
Proposals15 to 20
Interviewing0
Invites sent1
First seenMon, Jul 13, 2026 10:16 AM
Last seenTue, Jul 14, 2026 2:39 PM

Description

Summary We run a multi-location service business and our current lead response process is broken. Inbound calls go to voicemail during busy periods, outbound follow-up on quoted leads is inconsistent because it depends on whoever has time that day, and none of our call data makes it into our CRM without someone manually typing notes after the fact. We need an expert AI Automation Architect to design and deploy a complete inbound/outbound voice system — not just a voice bot, but the full backend pipeline connecting it to our existing stack. Scope of Work: Voice Layer (Retell AI + Twilio): Configure and fine-tune a Retell AI voice agent for ultra-low latency, natural conversation flow Advanced prompt engineering for objection handling on both inbound service inquiries and outbound quote follow-ups Connect to our Twilio number(s) for both inbound routing and outbound dialing Must handle interruptions and topic changes without breaking character or restarting the conversation Backend Automation (n8n + GHL): Build n8n webhook workflows to capture call transcripts in real time Auto-generate call summaries and push structured data (lead status, objections raised, next steps) into GoHighLevel Trigger appropriate GHL pipeline/stage updates based on call outcome Set up automated appointment scheduling — the agent should be able to book directly into our calendar mid-call, not just take a message Requirements: Proven experience with Retell AI specifically (not just "AI voice agents" broadly) Strong n8n workflow background — we need someone who can build reliable webhook logic, not just simple zaps Familiarity with GHL's API/pipeline structure Ability to explain your architecture in plain terms — we've been burned before by a build we didn't understand and couldn't maintain Nice to have: Experience with call analytics/QA (tracking objection patterns, drop-off points) Suggestions for fallback logic when the AI can't resolve a call

Skills

API Testing API SQLite Mobile App Testing Database Testing Desktop Application Testing +12

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