AI Systems Architect — n8n + LLM Agent Builds (Individual freelancers only)

I run an AI consulting and implementation
firm that builds intelligent automation
systems for business clients across
multiple industries.

I am looking for a skilled individual
developer to be our long-term technical
partner — building and maintaining
client systems as we grow.

Individual freelancers only.
No agencies. No teams.

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Required skills

n8n — complex architecture
Sub-workflows, error handling, webhook
triggers, modular design.
Not basic linear flows.

Claude API or OpenAI — advanced
prompt engineering
Structured data extraction,
categorisation accuracy,
consistent JSON output.
Not chatbot work.

AI agent architecture
Per-client context profiles,
structured memory systems,
automated learning from
human corrections.

REST API — write-access operations
OAuth 2.0, multi-client credential
management, write operations
not just read.

Google Workspace
Drive, Sheets, Gmail — including
structured data management and
dynamic context loading.

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Strong bonus

QuickBooks Online or Xero
write-access API — not just
connecting, actually posting
entries via API with OAuth
and sandbox testing.

Multi-tenant system design —
separate builds per client,
isolated credentials and data.

Cross-industry automation
experience — built for more
than one vertical.

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This engagement

Each client gets a fresh build —
no reused systems, no templates.
You build clean, documented,
production-ready workflows
every time.

This is not a one-off project.
If you want a single payment
and move on — this is not for you.

If you want consistent work,
clear briefs, on-time payment,
and a retainer that grows as
we add clients — read on.

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To apply — send all four

01
A Loom walkthrough of the most
complex n8n workflow you have built —
not a screenshot, a live walkthrough
showing you understand what you
built and why.

02
Explain specifically how you would
call Claude API from inside n8n
to extract structured data from
a document and return a consistent
JSON output.

03
Describe how you would build
a per-client memory system in n8n —
where each client has their own
context profile that Claude uses
and that updates automatically
from reviewer corrections.

04
Your project rate for a 150–200
hour build and your expected
monthly retainer for ongoing
maintenance.

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Applications without a Loom
walkthrough or answers to
questions 02 and 03 will
not be reviewed.