Looking for Long-term AI Automation Partner [AI Service for D2C brands]

Jobs
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Looking for automation specialist, someone who is good at n8n, understands api’s and devops (hosting automations using docker) for d2c brands.
About us : We build custom AI automation services for D2C brands.
Also deploying productized services.

3 Likes
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Hi, I’m Héctor — n8n specialist with production systems running 24/7. I’ve built a WhatsApp AI sales agent (GHL → N8N → OpenAI → WhatsApp Business API), a voice AI reservation agent (ElevenLabs + N8N + Google Calendar), and automated content pipelines. Self-hosted N8N on Hetzner with Docker. Open to discuss your D2C automation needs. [email protected]

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Hello @jagrav

I made this video specifically for you: Looking for Long-term AI Automation Partner [AI Service for D2C brands] - jagrav | Loom

I’ve been building n8n workflows for 6 and 7-figure businesses for 2 years and the video shows exactly a few of them.

Here you´ve my portfolio as well: Fran´s Portfolio - Google Präsentationen

Shoot me a message and let’s get started. [email protected]

Fran

P.S.: The video is 4 minutes. Worth it.

5

Hey,

This sounds less like a “hire” and more like a missing technical backbone for scaling your D2C automation services.

Most agencies in this space hit the same wall:

  • Workflows are built per client → no standardization

  • Systems break under scale → no monitoring / fail-safes

  • Delivery slows down → because everything is custom

That’s where I operate.

I don’t just build workflows — I structure reusable automation systems that can be deployed across multiple D2C clients without breaking every time.

For D2C specifically, I’ve worked on:

  • AI-driven customer support & WhatsApp sales flows

  • Post-purchase + retention automations

  • Lead capture → qualification → conversion pipelines

  • Voice + chat agents connected to real business actions

On the technical side:

  • Self-hosted n8n (Docker-based) with stable deployment setups

  • Modular workflow architecture (so you’re not rebuilding per client)

  • Proper logging, retries, and failure handling (so clients don’t complain)

If your goal is productized services, then the real play is:
→ Build once
→ Deploy many times
→ Maintain centrally

That’s the layer I can own.

Portfolio (systems + demos):
https://muhammad-ai-automations.notion.site/Muhammad-Bin-Zohaib-AI-Automation-Projects-29da292a241380f889c2e337a134c010

If you’re open, I’d rather start by understanding:

  • What D2C workflows you’re currently selling

  • Where delivery is slowing down or breaking

From there, we can design something scalable instead of patching things client-by-client.

– Muhammad

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Hi Jagrav, I have DM’ed you with all the relevant details. Looking forward to hearing back from you.

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Hi @jagrav,

came across your post — this aligns closely with what we do at Noyra-X.

We run a production multi-agent AI system built on n8n + Claude (Anthropic), fully self-hosted on Docker. Our agents handle automated lead research, content pipelines, outreach workflows and more — running 24/7 with agent-to-agent communication over a shared message bus.

Your stack requirements (n8n + APIs + Docker DevOps) are exactly our daily work:

  • n8n workflows in production — webhooks, HTTP nodes, custom integrations
  • Docker / Caddy — containerized deployments, reverse proxy, SSL
  • AI Agents — Claude-based with long-term memory (Qdrant), multi-step reasoning
  • API integrations — Airtable, Gmail, Telegram, CRMs and more

We’re a small team based in Germany, moving fast and focused on automation that actually ships.

Happy to jump on a quick call to see where we might fit. Feel free to reach out: [email protected]

— Benjamin, Noyra-X

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Hi @jagrav,

Interesting project — building AI automation services for D2C brands is exactly the type of work I focus on.

What I bring:

  • n8n + Docker production deployments — self-hosted n8n with CI/CD, monitoring, and failover
  • API-heavy integrations — CRM (GHL, HubSpot), e-commerce (Shopify APIs), WhatsApp/SMS automation, LLM-powered workflows
  • D2C domain experience — lead gen pipelines, post-purchase automation, customer support bots, multi-channel marketing flows
  • Productized delivery — modular workflow architecture that scales across clients without rebuilds

I prefer to start by understanding your current workflow stack and where delivery friction is, then design maintainable, scalable systems.

Happy to jump on a call. Feel free to DM or reach out via email on my profile.

Best,
James

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Hi Jagrav,

I saw your post and I’m a perfect fit for your team’s technical needs. I specialize in building and self-hosting production-grade n8n instances using Docker, ensuring high availability and security for client data.

How I can support your D2C Productized Services:

  • DevOps & Hosting: Expert in deploying n8n via Docker/Docker Compose with proper volume mapping, database persistence (PostgreSQL), and automated backups.

  • Custom API Integrations: I don’t just use standard nodes. I write custom HTTP requests and JavaScript code to handle complex D2C APIs (Shopify, Klaviyo, Logistics providers).

  • Scalable AI Workflows: Deep experience in building modular AI agents (OpenAI/Claude) that can be easily “cloned” and parameterized for multiple brands.

  • Performance Tuning: I know how to optimize n8n settings (concurrency, memory limits) to handle high-traffic holiday seasons and massive lead flows without crashing.

I’m looking for a long-term partnership where I can take over the technical heavy lifting, allowing your team to focus on the product and sales.

My Portfolio: https://mikedevai.netlify.app/ Telegram: @hely_chatbots

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Hi jagrav,

This is a strong match — I build custom AI automation systems for clients as my core business, and n8n + Docker self-hosting is part of my standard stack.

Here’s what I bring:

  • n8n expertise: Production workflows with error handling, retries, and logging. Not just scenarios — full systems with monitoring.
  • API integrations: I’ve connected 7+ APIs in a single project (Amazon Ads, Keepa, ClickUp, Slack, Dropbox, Claude AI, Supabase). Clean webhook-driven architecture.
  • DevOps / self-hosting: Docker deployments, CI/CD, infrastructure management. I build systems that run reliably without babysitting.
  • AI/LLM integration: Production Claude API and OpenAI integrations — not just prototypes. Token management, model selection, structured outputs.

I’m Priyanshu, founder of Evara AI (incubated at IIT Bhubaneswar). Currently building a multi-agent AI analytics platform for a UK client — Python + Supabase + Claude API + n8n orchestration.

Happy to discuss scope and see if there’s a fit. DM me here or email [email protected]

Portfolio: evaraai.in