Seeking a reliable n8n developer for ongoing project-based work (build + maintain)

Jobs
1

Hi all,

I run a small AI consulting and implementation firm. We build AI agents, agentic workflows, RAG systems, and integrations for small and mid-market clients. n8n is core to our delivery stack.

I’m looking for a developer (or a couple) to bring in on a contract, per-project basis as work comes up. Recurring projects are likely for the right fit — I’d rather build a steady relationship with someone dependable than start from scratch each time.

How the work is structured:

You build and fully test workflows in a sandbox/staging environment I provide — using test accounts, sandbox API keys, and synthetic data. You hand off the finished workflow as version-controlled, documented JSON. I handle production credentials and the final connection to live client systems on my side. This keeps client data tightly controlled and keeps the engagement clean and well-scoped for both of us.

What the work looks like:

  • Building n8n workflows and integrations against a variety of APIs (LLM APIs, Twilio/SMS, voice AI platforms, CRMs, webhooks, vector databases)

  • Designing flows that are maintainable and well-documented — not held together with duct tape

  • Building in solid error handling, retries, and alerting so issues surface early

  • Occasional troubleshooting and incremental improvements on workflows after launch

What I care about:

  • n8n and integration depth. Comfortable with custom nodes, code nodes, API auth flows, and debugging messy real-world integrations.

  • Clean, documented, handoff-ready work. Exportable JSON, clear documentation of what a workflow does, what it connects to, and how to maintain it. Secrets kept in the credential store, never hardcoded.

  • Reliability and ownership. Realistic timelines, early flagging of risks, and someone who stands behind what they build and is around to maintain it.

Logistics:

  • Remote

  • Per-project / contract basis, with recurring work expected over time for the right fit

  • Compensation discussed privately based on scope and experience

If this sounds like you, reply here or DM me with a bit about your background, a few examples of n8n work you’ve done (especially integrations or client-facing deployments), and how you prefer to work. Happy to share more about specific projects on a call.

Thanks!

6 Likes
2

If you need I am available here:

I am one of top 100 verified template creators:

I am also capable of building custom community n8n node too:

  1. https://www.npmjs.com/package/n8n-nodes-pdfbro
  2. https://www.npmjs.com/package/n8n-nodes-ocrbro
  3. https://www.npmjs.com/package/n8n-nodes-ttsbro

Apart from that I’m also a full-stack developer with the right Gen AI experience, which makes me a solid plus for your team[but right now only vibecoding]

Check my recent gen ai projects… I built a native Android automation agent too. It’s worth a look:

I can build complex AI automations directly in code, not just inside n8n

I recently started posting my n8n work on YouTube with explanations:

You can schedule a quick call with me: https://cal.com/abhi.vaar/n8n

Fun fact… I even made an n8n workflow to find a few n8n project leads for myself so I truly believe in what I do…

9bSkKu
9bSkKu1220×1470 122 KB

I started asking My recent clients for honest feedbacks so here is one testimonial: https://www.youtube.com/watch?v=TqBy3SVCHgQ&list=PLAJltY5bp6yiZ3sFBjm7bfrkLXSGtJX8m

Here is my linktree: iamvaar | X | Linktree

And I am also capable of building gohighlevel automations and other CRM’s too, here are my recent gohighlevel integrated automation videos:

And I also built low latency voice appointment scheduler with live ai avatar[in code]:

I built AI search visibility tracker[I am capable of building complex web scraping automations in python too]:

And done many other big projects too which are under NDA’s so technically I can’t reveal them.

3

Interested in hearing more about this

4

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 hello@smoothwork.ai

Looking forward to hearing from you!

5

Hello @technaros , welcome to n8n community, I have worked and have experience with n8n and l will love to collaborate with you on this you can schedule a call Here and you can checkout my upwork profile Here, for my pastworks and certifications

6

Hi, this sounds like exactly the type of work I do.

I’m an AI automation engineer focused on n8n delivery for SMB and mid-market teams. I build agentic workflows, API integrations, and handoff-ready automation systems with clear docs and clean JSON exports.

Recent work includes:

Inbound sales workflow in n8n with Apollo enrichment, HubSpot sync, AI research briefs, and Slack alerts (under 90 seconds from form submit to sales alert).
AI email triage and calendar booking workflow with guardrails, idempotent processing, and notification routing.
Integration-heavy ops pipelines with webhook orchestration, validation layers, and staged handoff for production connection.

How I work:

  1. Build and test in sandbox/staging only
  2. Use synthetic/test data and scoped credentials
  3. Add retries, error handling, and alerts from day one
  4. Keep secrets in credential store, never hardcoded
  5. Deliver versioned JSON plus concise maintenance docs

I’m open to per-project contracting, and I prefer long-term working relationships with a small number of teams.

If useful, I can share workflow samples and jump on a short call to discuss your current pipeline.

Best,
Divine Jude
Message on WhatsApp
https://wa.me/2349052885667

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7

Hello.

I build AI agent systems and n8n workflows for production deployments, and I’ve shipped several systems in this stack that are live and running without my intervention:

-– DMBooked: AI receptionist for aesthetic clinics. Claude API + n8n webhooks + persistent memory per client/channel. Fully documented, handed off, live at dmbooked.com.
— Vesper: SaaS AI chatbot platform with the same architecture — Claude API, n8n orchestration, per-client prompt configuration.

Both projects were scoped, built in staging, documented, and handed off clean — which aligns well with how you’ve structured this.

On the technical side: I’m comfortable with custom code nodes, API auth flows (OAuth, API key, webhook verification), error handling with retry logic and alerting, and building flows that are maintainable by someone other than me. I keep secrets in the credential store, never in workflow JSON, and I deliver exportable, commented JSON with a README covering what each workflow does, what it connects to, and what to watch for.

The stack you described — LLM APIs, Twilio/SMS, voice AI, CRMs, vector databases — maps well to what I’ve already built against. Happy to go deeper on any of it.

I work async, flag risks early, and stand behind what I ship. Recurring work with a stable client is exactly what I’m looking for — I’d rather build a reliable relationship than chase one-off jobs.

Happy to jump on a short call to hear more about the specific projects. What does your pipeline look like right now?

-– Lucas Lauer

8

Hi technaros, this is a clean setup for sandbox-first delivery.

I can help on a per-project basis, especially when the deliverable is versioned workflow JSON plus a short handoff note. The strongest fit for me is one concrete workflow path to make reliable: trigger/source contract, API auth or webhook handoff, retries/error branch, execution log, and an acceptance test.

A small first slice I would suggest is a 100 USD Automation Fix Sprint on one representative workflow path: diagnose the brittle point, make the smallest safe fix if possible, or document the exact blocker, then hand back a verification checklist your team can reuse in staging. No production credentials needed; redacted or sandbox data is enough.

Public proof shape:

If useful, DM me one sample workflow brief: trigger/source, destination, current failure or desired behavior, and the acceptance test you want the sandbox build to pass.

9

Hi Technaros,

i’ve gone through the details you’ve shared and my first priority is getting aligned with your delivery process so i can integrate smoothly into how your team builds and hands off projects.

for phase 1, i’d like to review your preferred workflow standards, documentation expectations, testing process, and staging environment setup. once that’s clear, i’ll focus on the highest-priority project currently in the queue and produce a technical implementation plan before beginning the build.

specifically, i’ll:

  • review any existing workflows or documentation that represent your preferred implementation style
  • understand your version control, handoff, and maintenance expectations
  • validate access to the staging environment and available sandbox integrations
  • identify dependencies, risks, and testing requirements for the first project
  • create an implementation roadmap and begin development work once scope is confirmed

for context, most of my automation work centers around n8n workflows, custom api integrations, code nodes, python/javascript extensions, and situations where lightweight custom logic is needed beyond standard nodes.

you can also find examples of my n8n work here:

when you have a chance, send over whichever active project you’d like me to start with, along with any existing workflow standards or documentation you’d like me to follow.

i’ll review everything and come back with an implementation plan before touching the build.

you can contact me here or via email: victorfolorunsoofficial@gmail.com

10

Hi — this is the kind of project-based n8n work I’m looking for.

My best fit is building reliable workflow slices for AI/ops systems: webhook/API glue, CRM/Sheets/Airtable-style handoffs, RAG/LLM steps where they are useful, error branches, retries, logging, and clear handoff docs.

For a first paid project, I’d suggest one contained vertical slice rather than a broad “help with everything” setup. For example:

  • intake/webhook trigger → validation + dedupe
  • AI classification/summary with structured output
  • CRM/database update
  • notification + error path
  • exported workflow and short runbook

That gives you a practical way to judge speed, communication, testing style, and whether I can maintain the standard your clients need.

I’m based in Tashkent, work async, and can start with a small fixed-scope task or workflow audit. Contact: travisofwork@gmail.com

11

Hi,

I came across your post, and it resonates strongly with the kind of work I’ve been doing and want to keep doing — so I wanted to reach out.

I’m an AI Automation Practitioner currently building production-ready AI workflows independently, after several years as a Software Engineering Manager. My current focus is n8n-based automation, RAG systems, LLM integrations, and AI agent development. A couple of recent projects that feel relevant to what you described:

  • AFR (Automated File Retriever) — a local-first RAG system built with n8n, PostgreSQL, and local and cloud LLMs that turns internal document repositories into a queryable knowledge base. Demo: https://youtu.be/KkeW2ai-nxU
  • WebRAG — a self-hosted RAG system that crawls any website and serves a conversational AI interface with source-cited answers. Demo: https://youtu.be/zXh9cuOZ3tM
  • Process Automation Assessment (PAA) — a full-stack web app with an n8n workflow backend that evaluates business processes for RPA/AI suitability, with automated email delivery and GDPR-compliant data retention. Live: https://process-assessment.netlify.app

I’m comfortable with custom nodes, code nodes, API auth flows, and how you expect the work to be done in general. I document thoroughly — exportable JSON, inline comments for the code nodes for better readability and understanding what the code does, clear notes on what a workflow does, what it connects to, and how to maintain it.

I’d be glad to share more background or talk through specific projects on a call or via email.

Best,
Zdravko

Email: zansynetwork@gmail.com

12

Hi,

This is exactly the kind of working relationship I’m looking for — ongoing, per-project, with a firm that actually builds real AI systems for clients.

My background: I work with n8n, Claude API, WhatsApp Business API, Google APIs, and webhook-based integrations. I build for reliability — error handling, retries, documented JSON handoffs, nothing hardcoded.

Relevant work:

-> Designed an AI agent for a logistics company connecting WhatsApp Business API + Google Maps API to route and confirm delivery addresses automatically. Built for real operational use, not a demo.

-> Built and deployed a bilingual (IT/EN) production website for a hospitality client — full project management from brief to delivery.

How I work: I test in sandbox environments, hand off version-controlled documented JSON, flag risks early, and stay available for maintenance. I don’t disappear after delivery.

I’m based in Sardinia, Italy (UTC+2), remote-ready, and available to take on projects now. Happy to jump on a call to hear about what you’re working on.

Marcelo Bolla

marcelobolla3@gmail.com

13

Hi technaros :waving_hand:

This is very aligned with the kind of n8n systems I work on — especially AI-powered workflows that need to be maintainable, properly documented, and stable in production environments.

I also like the separation between sandbox development and production credential handling. That usually leads to cleaner deployments and fewer long-term issues.

Quick question:

Are most of your projects centered more around AI agents/RAG systems, or operational automations across CRMs, messaging, and internal workflows?

A few related builds:

• AI Voice Agent + API Automation
https://www.upwork.com/freelancers/~0122761e4734295f4b?p=2038586338272239616

• Multi-channel CRM + Automation System
https://www.upwork.com/freelancers/~0122761e4734295f4b?p=2039118619839795200

• Content Generation + Automation Pipeline
https://www.upwork.com/freelancers/~0122761e4734295f4b?p=2039336822638325760

Portfolio Website:
https://mavin-collins.my.canva.site/flowedge-portfolio-website

Book a call: Click here to book a walkthrough call session

Email:
folafoluwaolaneye@gmail.com

14

Hi there!

I’m an n8n developer and I have done multiple enterprise level projects that are working and benefitting my clients beautifully.

I also have my own product www.autobae.in which is completely made by me and till now I have 15 clients in this as well.

Basically if there is an automation you need built I can do it and I’m ready to work at a very low cost and on a project basis as well.

I have an eye for detail and I try to make automations that are clean, easy on the pocket and require minimum human intervention.

Please let me know if we could connect my email id is mohini.kiit@gmail.com

15

Hi,

I build production-grade n8n workflows and AI agent systems for consulting firms — including RAG pipelines, multi-step agentic flows, API integrations, and Claude/OpenAI orchestration.

I work cleanly: documented workflows, async-friendly, no hand-holding needed. Recent builds include a client onboarding automation with CRM sync and an AI-powered document processing pipeline.

Open to per-project contracts with long-term potential. Happy to do a quick call to see if there’s a fit.

-– Oktay Kilic | Flowmatic Works · flowmatic.works@gmail.com

16

Hi technaros, this sandbox-first structure is exactly the right way to keep client credentials and production data clean.

I can help with a small scoped test task and hand off:

  • versioned workflow JSON,
  • a short setup / env-var note,
  • test cases with synthetic data,
  • error branches and retry behavior,
  • a concise maintenance note for the next person.

For a first task, I would suggest one narrow workflow path rather than a large system: trigger → transform/enrich → write/update → alert → failure path. That makes it easy to judge reliability, documentation, and handoff quality quickly.

17

Sent you a DM. Let’s connect!

18

Hi technaros — this maps almost exactly to how I like to work, so I’ll be specific rather than generic.

I build production n8n / Make / API automations: REST and webhook integrations, JSON transformation, RAG and agentic workflows, CRM / email / SMS glue — with real failure handling, retries and idempotency, logging, and handoff docs (not brittle node chains).

Your structure is ideal for me: I build and fully test in your sandbox with test accounts and synthetic data, hand off documented, version-controlled JSON, and you keep production credentials and the live connection. Clean and well-scoped for both sides.

On dependability — the thing you’re optimizing for: this week I shipped reduced-repro + tested fixes to several production codebases, including an approved PR to Rocicorp’s Zero query engine, plus RxDB and Convex. I lead with tests, reduced repros, and clean handoff notes. A couple of automation/runbook samples: AI Agent Cost Leak Audit + Automation Rescue Sprint — Sravan Sridhar

Suggestion: start me on one small, scoped workflow so you can judge the handoff quality directly before anything ongoing. I can take a first build this week — happy to take a spec here or hop on a quick call.

— Sravan (sravan272001@gmail.com)

19

Hi - I like the sandbox/test-account structure you described. That is the right way to keep client systems safe while still getting useful work done.

I would suggest starting with one small paid trial workflow instead of a broad ongoing commitment:

  • one representative workflow path
  • synthetic/test data only
  • exportable workflow JSON
  • happy-path and failure-path test payloads
  • retry/idempotency/error notes
  • short handoff checklist for production connection on your side

Best-fit areas for me are API/webhook glue, Airtable/Sheets/CRM-style data normalization, structured LLM output, and hardening brittle workflows. I do not need production credentials for a first pass; a redacted workflow brief, screenshots/export, logs, and expected output are enough.

20

Hello technaros,

If you are still looking to fill this role or need an extra hand to handle the upcoming pipeline, I’d love to connect. Your structured approach ..building in a sandbox environment with synthetic data and handing off version-controlled, documented JSON is exactly how production-grade automation should be built.

I run an automation and AI systems engineering practice, and n8n is the absolute backbone of my delivery stack. Here is how I map to what you care about:

  • n8n & Integration Depth: Completely comfortable writing custom JS/Python inside Code Nodes, handling complex API auth flows, and building out advanced agentic workflows and RAG pipelines.
  • Production-Grade Design: I don’t build “duct-tape” workflows. Every system I deliver includes strict credential scoping, global error-handling sub-workflows, and real-time alerting so issues surface instantly.
  • Clean Handoffs: I treat workflow JSON as a codebase. You will get clean, modular workflows with clear node-naming conventions and comprehensive Sticky Note documentation directly on the canvas for seamless maintenance.

I operate on clear milestones, realistic timelines, and early risk-flagging. I’d love to jump on a brief call, learn about your specific projects, and share some of the client-facing n8n deployments I’ve built.

Let me know if you’d like to chat!

Best, Victor Egbo https://www.linkedin.com/in/victor-egbo-9401b525b/