Job Title: AI Automation Engineer (n8n & Voice AI Specialist)

Jobs
1

Job Title: AI Automation Engineer (n8n & Voice AI Specialist)

The Role:
We are a high-ticket AI Automation Agency (AAA) specializing in Voice AI (Vapi) and Autonomous Internal Agents (OpenClaw). We are looking for a technical powerhouse to handle the backend architecture of our client builds. You will turn business requirements into bulletproof, scalable workflows.

Technical Stack:

  • n8n: Advanced workflow construction (Error handling, Split-in-batches, Function nodes).

  • Voice AI: Deep experience with Vapi.ai (Custom Tools/Function Calling).

  • LLMs: Prompt engineering for Claude 3.5 Sonnet and GPT-4o.

  • Infrastructure: Webhooks, REST APIs, Supabase/Airtable, and Google Workspace integrations.

  • Optional: Experience with OpenClaw or self-hosted AI setups.

Key Responsibilities:

  • Build and “Stress Test” the n8n logic for $4k - $10k client projects.

  • Configure Vapi Custom Tools to allow voice agents to read/write to calendars and CRMs.

  • Document workflows so they can be easily duplicated for future clients.

  • Perform monthly “Brain Updates” and API maintenance for retained clients.

Compensation:

  • Project-Based: $500 – $1,200 per build (based on complexity).

  • Performance Bonus: % of the setup fee for early delivery/high-quality builds.

  • Growth: Opportunity to move into a Lead Engineer role with a monthly retainer as the agency scales.

How to Apply:
Don’t send a generic resume. Send a JSON export or a screenshot of the most complex n8n workflow you’ve built. If you’ve integrated Vapi with a calendar via n8n, you move to the front of the line.

6 Likes
2

Hey :waving_hand:,

I’m Milan, with 8 years of experience in Business Automation and AI. Including 2 years at Apify working on enterprise-level browser automation.

Currently specializing in n8n, but also proficient in Python & Javascript.

Find out more about my work here:

If you think I might be a match, please:

Book a call here with me

Or reach out at [email protected]

Looking forward to hearing from you!

4

Hey! I work with n8n from 3 years and also worked with Vapi made outbound calling system for clients in my last job.

Airtable, Google Sheets, OpenAI, webhooks all these I use regularly in my workflows.

Can I send some screenshots of my work? Would love to connect.

5

Hi @Marco_Lucent,

I build and maintain a 100+ node production n8n workflow — AI content pipeline with Supabase state machine, 59 Code nodes, Telegram bot interface, LLM chains (Claude/GPT via OpenRouter), and webhook integrations. It runs 24/7 handling real users.

Core stack:

  • n8n: advanced error handling, batching, complex routing (15 If nodes, 2 Switch nodes)

  • LLM: Claude Sonnet + GPT-4o via OpenRouter, structured JSON output, prompt engineering

  • Supabase: state management, session tracking, vector storage

  • Telegram bots: production bots with inline keyboards, callback routing, multi-step flows

  • Vapi.ai: familiar with voice AI + calendar/CRM integration patterns

Can share a screenshot of the live workflow via DM.

Available for per-project work immediately.

1 Like
6

Hi Marco,

Sharing screenshots of two complex n8n workflows I’ve built recently.

Workflow 1: Voice automation pipeline using the Vapi API where leads are collected, triggered through Google Sheets, and outbound calls are initiated. Post-call data is processed and passed to an AI agent layer that can qualify leads and trigger actions like HubSpot contact updates and Google Calendar scheduling.

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Workflow 2: An AI agent orchestration workflow triggered via webhook. The agent uses memory and tool-calling to interact with systems like Google Sheets, HubSpot, and Google Calendar to read data, update contacts, and schedule events dynamically.

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Would be great to discuss your current setup and how I’d approach structuring the workflows for your client builds.

Best,
Folafoluwa Stephen

Email: [email protected]
Book a call: Schedule a walkthrough Call session here .

7

Hi Marco,

We built FrontDeskPilot — a production Voice AI receptionist SaaS handling real calls in Ukraine and the US. The stack: LiveKit SIP + ElevenLabs TTS (with custom Ukrainian voice cloning) + Deepgram STT + Claude + n8n orchestration. We target sub-5s end-to-end latency across the full STT→LLM→TTS pipeline.

n8n experience: We maintain 50+ workflow packs covering lead enrichment, outbound campaign orchestration, CRM sync, health checks, and content pipelines. Advanced patterns — error handling, split-in-batches, function nodes, webhook chains, and REST API integrations are daily work.

Voice AI: Direct experience with Vapi (custom tools, function calling, calendar/CRM integration), plus deep work with LiveKit SIP trunking, Twilio, and Zadarma telephony. We’ve built research callers, pitch agents, and mystery shoppers — all orchestrated through n8n.

Broader stack: 12 published MCP servers on npm, full-stack TypeScript (Hono + React), Claude and GPT-4o prompt engineering, PostgreSQL, Supabase, Airtable, Google Workspace integrations, and self-hosted AI setups with Ollama.

We document every workflow for replication and maintain them for retained clients — exactly the model you describe.

Happy to share a demo or discuss scope. Portfolio: flipfactory.it.com

8

I have 3+ years of experience building advanced automation systems using n8n, including complex workflow architecture, API integrations, AI agents, and production-level automation. I’ve worked on implementing AI-driven systems with OpenAI, building structured workflows, and integrating CRMs, calendars, and third-party tools.

I also have experience designing scalable, reusable workflows with proper error handling, logging, and modular structure for client delivery.

I’m also a top supporter of the n8n community and regularly work on building high-performance automation systems.

I’d be happy to connect and discuss how I can contribute to your client builds and delivery process.

9

Hi Marco,

This role matches my daily work perfectly. I build n8n + Voice AI systems in production.

What I’ve built:

  1. AI Voice Reservation Agent (1+ year in production): n8n + ElevenLabs + Google Calendar. Handles restaurant reservations via phone autonomously — error handling, retry logic, monitoring, all production-grade.
  2. WhatsApp AI Sales Agent: n8n + GoHighLevel API V2 + OpenAI GPT-4 + WhatsApp Business API. Automated lead qualification and appointment booking 24/7.
  3. 8-workflow YouTube automation pipeline: n8n orchestrating monitoring, transcription, script generation (GPT-4), video production, publishing, and Shorts generation. All self-hosted.

My n8n expertise:

  • Self-hosted on Docker + Coolify + Traefik (Hetzner VPS)
    • Complex error handling, split-in-batches, merge nodes, sub-workflow orchestration
      • Custom JavaScript in Code nodes
        • Webhook architecture design and debugging
          • MCP (Model Context Protocol) via Claude Code CLI
        • Voice AI: Built with ElevenLabs (same STT > LLM > TTS pattern as Vapi). Production-grade with fallbacks.
      • LLMs: GPT-4o and Claude daily. Prompt engineering is core to my workflow design.
    • Infrastructure: Self-hosted n8n, Docker, REST APIs, webhooks, Google Workspace integrations.
  • Available immediately. Based in Spain, fully remote. Happy to do a trial build.

Hector Gallardo Arcos

https://linkedin.com/in/hectorgallardoarcos

10

Hey @Marco_Lucent

I can handle the backend architecture for your client builds, turning business requirements into scalable, bulletproof workflows that integrate Voice AI and Autonomous Internal Agents.

Here’s the approach:
• Build and stress test n8n workflows for high-ticket client projects
• Configure Vapi Custom Tools for calendar and CRM integration
• Document workflows for easy duplication
• Perform API maintenance and “Brain Updates” for retained clients

Let’s schedule a call to discuss the details further.

11

Hey Marco,

I’m Francisco Barrera — LLM Engineer & AI Automation Architect based in LATAM.

This role is exactly what I’ve been building in production for the past 2 years. Here’s my relevant stack:

n8n: I run 4+ production workflows (33+ nodes each) on a self-hosted Docker instance — lead processing, AI chatbot orchestration, outbound call management, and automated scheduling. Full error handling, retry logic, and webhook integrations.

Voice AI: I deployed a production voice agent using both VAPI and Retell AI with Twilio SIP trunking for LATAM phone numbers. The agent handles outbound calling, lead qualification, and books appointments directly into Google Calendar. I migrated from VAPI to Retell AI specifically to cut latency from ~990ms to ~600ms.

Integrations: Supabase/PostgreSQL for lead storage, Twilio (Voice + WhatsApp + SIP), Google Calendar API, Meta Ads webhooks, Gemini/Claude/OpenAI APIs.

LLM Prompt Engineering: My voice agent prompt is at V10, incorporating persuasion psychology (scarcity, reciprocity, autonomy, curiosity gaps). I’ve solved real production issues like LLM date hallucination (runtime injection fix) and voice agent speaking before the lead says hello.

Infrastructure: Full VPS setup — Docker, Nginx, Cloudflare, Let’s Encrypt, systemd, UFW.

GitHub: fbarrerainversiones (Francisco Barrera) · GitHub (3 production repos)
LinkedIn: linkedin.com/in/franciscobarrera-ai

I can send a JSON export or screenshots of my most complex n8n workflows on request. Happy to do a quick call to walk through my builds.

Francisco

13

Hi @Marco_Lucent,

I saw your post for an AI Automation Engineer and wanted to reach out. I specialize in building complex n8n backend architectures, specifically focusing on multi-agent orchestration and tool calling.

I have extensive experience integrating Vapi with n8n to allow voice agents to read/write to calendars and CRMs. I’ve built systems where an AI agent handles the initial qualification and then triggers a meeting booking flow.

Here is a brief Loom video showing a similar multi-agent system I’ve built that handles lead recovery and automated booking: Watch My n8n Demo

I’d be happy to share a JSON export of one of my more complex workflows to show you how I handle error states and split-in-batches logic.

Looking forward to discussing how I can support your client builds.

Best, Swagata Biswas

14

Hi Marco!

I saw your post and it’s a perfect match for my stack. I’m an AI Automation Engineer, and I specialize in exactly what you need: building “bulletproof” backends that don’t break under pressure.

Why I can help your agency scale:

  • Vapi + n8n Expert: I love working with Vapi Custom Tools. I’ve built systems where voice agents don’t just talk, but actually perform actions—reading/writing to Google Calendar and GoHighLevel in real-time.

  • Advanced Logic: I’m a pro with the “heavy lifting” in n8n—Split-in-batches, Function nodes (JS), and complex API auth. My workflows are built to be stable and easy to duplicate for new clients.

  • Live Example: If you check my website, you’ll see some of the complex n8n workflows I’ve built. In fact, the booking system on my site is fully automated via n8n and synced with my calendar—so you can see the tech in action.

I’ve attached a JSON export of one of my recent workflows. It handles multi-step AI analysis, RSS processing, and structured data output—take a look at the logic!

I’m ready to take ownership of your backend builds and help you deliver those $10k projects.

Contact me here:

15

Hi Marco,

I send my vapi agent on n8n.

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16

Hey Marco,

I’ve integrated Vapi with CRM calendars in production — not a demo.

Built an autonomous voice AI receptionist for a construction company: 7 Vapi Custom Tools calling CRM API in real-time during live calls — create_contact, check_availability, create_appointment, find_appointment, cancel_appointment, transfer_call, send_message_sms. Each tool uses dynamic credentials passed from the assistant’s prompt config, so the same tools work for any client — onboarding a new one means changing 4 values.

On top of that: 7 CRM workflows (booking confirmations, 24h/2h reminders, cancellation notifications, no-shows, 3-touch Google review sequence). 10 prompt iterations to get phone number collection, tool chaining, and error handling production-solid.

Architecture designed specifically for agency duplication — which is exactly what you described.

Full case study with architecture and live demo: AI Voice Receptionist for Service Businesses | Leon Gael — Case Study

Self-hosted n8n stack on Docker + Traefik + PostgreSQL + Redis, running 24/7. Also built a multilingual content platform with 13 n8n workflows: AI-Powered Content Platform — 3 Languages, 100% Automated | Leon Gael — Case Study

Available for project-based builds. Based in Honduras (UTC-6).

17

This role is an exact match for my current work.

n8n as the orchestration backbone with Voice AI (Retell AI, Vapi, Bland.ai) integrated through HTTP Request nodes is a stack I’ve built production systems on. I handle the full pipeline: inbound voice trigger → n8n workflow logic → CRM update → follow-up sequences → reporting.

On the n8n side: complex multi-agent flows, sub-workflow patterns, error handling, webhook management, LLM node integration with structured output parsing, and self-hosted deployment.

On the Voice AI side: dynamic prompt injection based on lead context, call outcome routing, transcript processing into actionable data.

Happy to discuss the specific use case you’re building for. What industry and what’s the core workflow?

You can reach me at [email protected] or reply here.

18

Hey, Wish i could send whole json but it’s too large, here is output examples from it

https://www.youtube.com/shorts/4LHVT_GBOMQ
https://www.youtube.com/shorts/uCbeIippU0I

My contact: [email protected]

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19

I run Evara AI, incubated at IIT Bhubaneswar, and Voice AI + autonomous agent systems are exactly what we build day-to-day. I have shipped production Vapi voice agents with dynamic tool-calling, intent routing, and live CRM sync – not template workflows, but custom code-first builds with n8n orchestrating the backend. My current client engagement involves a multi-agent system using Claude 3.5 Sonnet for reasoning, Supabase for state management, and n8n for the automation backbone – handling everything from inbound voice qualification to autonomous task execution across internal tools. I also work heavily with GPT-4o for structured extraction and webhook-driven pipelines that tie into Airtable, Slack, and custom APIs. Happy to walk through architecture examples or jump on a short call – feel free to DM me or reach out at [email protected].

20

I build production Voice AI systems on Vapi + n8n — intake agents, CRM integrations, calendar booking, the works. Live client builds, not portfolio projects.

Below are screenshots of my complex voice agent projects intergarted with a calendars and crm, For memory mamnegment, Appointment Bopoking, customer suppopsrt

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Hey Profile - Marco_Lucent - n8n Community

I got you, I have been building all forms of automations for the past 2 years and have built 100s of flows for my clients. Have worked with all sorts of companies and gotten them 10s of thousands in revenue or savings by strategic flows. When you decide to work with me, not only will I build this flow out, but also give you a free consultation like I have for all my clients that led to these revenue jumps.

I have built a similar workflow like this for one of my clients. I can not only share that but also how you can streamline processes in your company for faster operations. All this with no strings attached on our first call.
You can also email me at- [email protected]

Here, have a look at my website and you can book a call with me there!

Talk soon!