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

Jobs
85

You keep production credentials on your side and take the handoff as version-controlled, documented JSON. That is rare enough to be worth answering — it is also exactly how we prefer to work.

We are a small remote dev team (GMT+3) that runs AI automation as a product rather than as scripts. Our own system is a fleet of AI agents we operate daily: 627 tasks across 11 projects, 461 of them in the last month, with an automated acceptance gate that rejects an agent’s output before a human ever sees it. Shipped to production: Telegram bots with online payments, CRM sync with webhook signature checks and field mapping, Google Sheets pipelines, anti-spam moderation for an 18,000-member chat, and a voice interface.

Straight answer on stack, so there are no surprises later: our core is Python + Claude API, and we use n8n for the deterministic parts of a flow rather than as the whole system. Custom nodes, code nodes, OAuth with refresh tokens and messy real-world API debugging are day-to-day work for us.

Sandbox-only with synthetic data works for us, and we hand back exportable JSON plus a short runbook of what it does and how to maintain it.

Rate: $30-40/hour, or fixed price per workflow from $1,500. Contact: growclients.seo@yandex.com — Boris, GrowClients

86

Hi,

I’m very interested in your ongoing n8n developer opportunity.

I’m an Automation Engineer based in the Dominican Republic and I build production-oriented automation systems using n8n, Python, REST APIs and AI services.

My work focuses on solving real business problems by integrating APIs, databases, messaging platforms and business applications into reliable workflows with validation, retries, logging and human approval where appropriate.

Some of the systems I’ve built include:

• AI-assisted business operations using n8n, Chatwoot and Odoo

• Commerce automation connected to custom PHP/MySQL APIs

• API auditing and validation tools built with Python

• Browser automation using Selenium

• Workflow automation with persistent execution state and structured error handling

I’m comfortable documenting workflows, delivering JSON exports, testing in sandbox environments and maintaining automations after deployment.

My portfolio:

https://black-math-1946.naybe10.workers.dev/

87

Hi @technaros,

Your sandbox-to-handoff model matches exactly how I prefer to structure engagements — build and test with synthetic data against sandbox keys, deliver exportable versioned JSON with clear documentation, never touch production credentials. That boundary is how I would have proposed it anyway.

A few specifics on depth:

LLM integrations. I’ve built workflows where intent is routed by deterministic code rules, with a local Ollama model (qwen3:14b) generating responses. No cloud LLM dependency — all inference stays on-machine. The routing logic lives in deterministic Node.js code called as an HTTP endpoint from n8n, so it’s version-controlled, testable, and has no prompt-drift risk.

API integrations and auth. OAuth2 flows (including refresh-token handling, encrypted token storage at rest), webhook ingestion with deduplication by message ID, bounded retry with max-attempt ceiling and hard deadline. Credentials stay encrypted in storage — nothing hardcoded, ever.

Error handling and observability. I build bounded retry patterns, and structure failure paths so that a failed task writes an explicit failure message to a log rather than silently disappearing. Alerts trigger on failure, not silence.

Handoff discipline. Workflows get exported as versioned JSON with a short README covering: what the workflow does, what credentials it expects, what the success/failure outputs look like, and how to test it in isolation before connecting to anything live.

Most of my n8n work has been internal automation infrastructure — orchestration layers, Telegram-to-workflow pipelines, async task runners — rather than client-facing deployments. I can walk through the architecture and show the workflow JSON on a call so you can assess the quality directly rather than taking my word for it.

If you’re open to it, happy to hear more about the types of projects that come through your pipeline. I’d rather understand the actual scope before discussing rate.

Captain Ayov / kaptenayov@gmail.com

88

Background: I run my own self-hosted n8n instance in production, and I treat “handoff-ready” as the actual bar rather than a nice-to-have. Every workflow I run gets exported as version-controlled JSON with a short doc of what it does, what it touches, and what breaks if a credential expires.

Two examples that match what you listed. A backup-health-check workflow that checks whether a backup is actually fresh and large enough, not just whether the backup job exited without an error - the failure mode I kept running into elsewhere was a “successful” job that had silently stopped writing real data. Public and documented on my GitHub (maaaxme), happy to link it if useful. Alongside that, a small pack of ops workflows (disk space, uptime, cert-expiry monitoring with de-duplicated alerting via $getWorkflowStaticData so you get pinged once per problem instead of once per day) - same principle, build it so the failure surfaces early instead of needing me to hover over it.

On the sandbox/handoff model specifically: that structure keeps you out of my dev environment and me out of your production credentials entirely, which is exactly how I’d want it set up either way.

Worth saying plainly since you mentioned “dependable”: I’m building my freelance track record in public right now, so I don’t have a wall of client logos yet. What I do have is the above, running for real, not a demo.

Määäx

89

Hi, I’m Yaroslav. I build n8n workflows focused on practical business automation and clean handoff.

My current projects include lead capture and qualification workflows, appointment booking, customer support routing, Gmail, Google Sheets and Google Calendar integrations.

Portfolio:

Your sandbox-first setup is especially interesting to me. I’m comfortable building from a defined brief, testing the workflow before handoff, documenting it clearly, and learning/integrating new APIs when a project requires them.

I’d be happy to start with one smaller paid workflow so you can evaluate how I work before moving into recurring projects.

If you’re still looking, what is the first workflow currently in your queue?

90

Hi @technaros — your sandbox-to-handoff boundary is exactly how I prefer to de-risk automation work.

I’m Mash, based in Australia. My public proof is a self-owned n8n demonstration, not a claimed client deployment: it routes synthetic Telegram photo events, deduplicates repeats, and holds ambiguous job mappings for review instead of guessing. The demonstration and scope are documented here: [FOR HIRE] n8n setup + one safe business workflow — Australia / remote

For a first engagement, I’d suggest one small fixed-scope paid trial in your sandbox: one trigger → validated record/API step → owner approval or alert. Handoff would include version-controlled workflow JSON, a setup note, a test matrix covering duplicate/bad payload/downstream failure, and a concise recovery runbook. Production credentials stay with you.

I won’t claim client-facing production history I can’t verify. If that evidence level is suitable, which current workflow has the clearest acceptance criteria for a contained trial?

91

Hi @technaros - your sandbox-first process and requirement for synthetic data, documented JSON, retries, and clean handoff match how I want Gula Labs to work.

I built an importable n8n lead-to-booking demo with validation, deterministic scoring, deduplication, CRM webhook handoff, qualified/nurture routing, and no embedded credentials. For a first task, send one bounded workflow, sample payloads, and acceptance criteria. I can return the workflow JSON, test evidence, credential/environment map, failure-path notes, and a concise runbook within 72 hours.

I prefer a small paid project trial. I am new as a business, so I will not claim client history I cannot document - I would rather demonstrate the work directly.

Demo and offer overview: https://gula-labs-automation.ctcj.chatgpt.site

Gula Labs | labsgula@gmail.com

92

Hi @technaros,

This is exactly the kind of engagement I’m looking for. I build production n8n workflows with clean error handling, retries, alerting, and full documentation. Version-controlled JSON exports with clear handoff notes is my standard delivery format.

My background: AI automation engineer at Delos Intelligence in Paris. I work with LLM APIs (OpenAI, Claude, open-source models), CRM integrations, webhook pipelines, vector databases, and voice AI platforms. I’m comfortable with custom code nodes, complex API auth flows, and debugging messy real-world integrations.

What I deliver:

  • Tested workflows in your sandbox environment
  • Exportable JSON with documentation of what each workflow does, what it connects to, and how to maintain it
  • Secrets in the credential store, never hardcoded
  • Realistic timelines and early risk flagging
  • Available for ongoing maintenance after launch

I work remotely from Paris (UTC+2), fluent in English and French. Happy to jump on a call to discuss specific projects.

Email: julien_carr@delos-int.dls.so
n8n community: @JulianCarr_Delos

93

Hi, I’m mahmoud an AI Automation Developer focused on building practical n8n workflows, LLM integrations, and API-driven business automations.

I’ve built 10 end-to-end automation projects, including an AI CRM lead enrichment and qualification workflow using n8n, Tavily Search, Google Sheets, Gmail, and REST APIs. I also built an AI resume screening workflow using n8n and OpenRouter for automated document analysis, candidate matching, ranking, and structured evaluation.

I’m comfortable building structured workflows, working with APIs and webhooks, and documenting workflow logic and integrations for handoff.

I’m particularly interested in project-based work and would be happy to build a long-term working relationship as projects come up.

Portfolio: Notion

GitHub: barbarussa512 (Mahmoud Al-Durayni) · GitHub

94

Hi! This workflow structure and handoff model is exactly how I prefer to work.

I build modular, production-ready n8n workflows with custom Python/JS code nodes, robust error handling, and clean API integrations.

Here is how my skill set matches your requirements:

  • API & Integration Depth: Hands-on experience working with REST APIs, webhooks, authentication flows, and AI LLM integrations (OpenAI, Claude, custom agents).

  • Clean Architecture & Security: I strictly keep environment secrets in n8n credential stores, avoid hardcoded variables, and design workflows with retries, alerts, and fallback nodes so nothing fails silently.

  • Handoff & Maintainability: I deliver clean, structured JSON exports along with clear documentation covering triggers, data mappings, and maintenance steps.

  • Sandboxed Development: Comfortable building, testing, and debugging in staging environments before handing over production-ready assets.

I’m available for project-based contract work, communicate clearly on progress and risks, and look for long-term collaboration.

Sent you a Direct Message with a bit more detail — happy to jump on a quick call or discuss your next incoming project!

95

Hi there,

I am an experienced n8n developer and can help you build and maintain your ongoing workflows smoothly. I have extensive experience setting up custom integrations, handling error management, and optimizing workflows for performance. Let’s connect to discuss your project requirements in detail!

96

n8n Developer Support — Reliable, Clean Workflows & Sandbox Testing

​Hi Technaros,

​I saw your post looking for a dependable n8n developer for ongoing project-based work.

​I build and test n8n workflows with a strong focus on clean architecture: proper error handling, structured JSON outputs, clean variable pass-through, and zero hardcoded credentials. I understand the importance of working strictly inside sandbox/staging environments and delivering fully tested, documented JSON files for handoff.

​My technical stack & workflow execution:

  • ​n8n Core: API integrations (REST/Webhooks), custom code/filtering logic (handling JSON data, array manipulations, date parsing), and notification channels (Telegram, Slack, email alerts).
  • ​AI Assistance: I leverage advanced AI coding tools as an active co-pilot to rapidly solve complex data-transformations, custom JavaScript nodes, or unexpected API edge cases.
  • ​Reliability: I focus on thorough testing in sandbox setups before handing off version-controlled JSONs ready for live deployment.

​I am looking for a long-term collaborative relationship and would be glad to start with a smaller test task or workflow troubleshooting to demonstrate my speed and attention to detail at a very competitive rate.

​Available to chat or review a sample project whenever you are ready.

​Best regards,

Evin Castellanos

97

The sandbox-to-production split is the right call, and it’s the part most people underestimate at handoff — so one practical note on how you might want the JSON delivered.

n8n bakes credential IDs into exported JSON. When you re-point a workflow at production, every node holding a credential has to be re-selected on your side, and a 25-node workflow with four credential types is an easy place to miss one and not find out until it fails at 2am. Two conventions make that painless:

  1. Name credentials identically in sandbox and prod — Twilio — Client A, not Twilio account 3. Identical naming turns the re-link into a one-click confirm instead of a hunt through a dropdown, and imports resolve far more cleanly.
  2. Ship a credential map with the docs — node name → credential type → scopes required. The prod swap becomes a checklist rather than an archaeology exercise.

Worth stripping meta.instanceId and any pinned data before committing too; otherwise the git diffs are mostly noise, and real changes get lost in them.

I’ve sent you a DM with my background and a few examples. Happy to walk through specifics on a call.