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Senior n8n Automation Engineer — Build Repeatable AI Recruiting System

Hiring evidence involving Workflow automation, n8n. First observed 21 Oct 2026; the response opens on upwork.com.

Technology
Workflow automationn8n
Budget
Not provided by source
Work format
Hiring
Role family
AI / ML engineer
Seniority
Senior
Observed
21 Oct 202647 hours old
Deadline status
Deadline not provided — verify source
Response destination
upwork.com
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Source job details

Structured facts are published only when supplied by the source; missing values are never invented.

Hiring organization
Undisclosed Upwork client
Source reference
OPP-20261021-1845
Location evidence
Remote; client location/timezone not published
Employment type
contractor
Required skills
n8n; AI workflow automation; recruiting systems; integrations
Expected duration
1–3 months

Opportunity summary

Senior n8n Automation Engineer — Build Repeatable AI Recruiting System. The source classifies this as hiring work involving Workflow automation, n8n. Location or remote eligibility: Remote; agency eligibility not stated.

Technology and scope

The reported stack is n8n; AI workflow automation; recruiting systems; integrations. Check the source for required versions, deliverables and which technologies are mandatory.

Engagement details

Hiring: an employment-oriented search for an individual contributor or team member. Source timing: 1–3 months

Budget

Budget not provided by source. Confirm the rate or project value before preparing a proposal; no estimate has been substituted.

Dates and availability

First observed by Leadiy on 21 Oct 2026, 02:02 UTC. Public since 23 Oct 2026, 00:00 UTC. Deadline not provided — verify source. A listed deadline does not confirm that applications are still accepted. These are observation and publication dates, not a reconstruction of the source posting date. Date-only deadlines have no supplied timezone; the date changes here at midnight UTC.

Related market context

In the current 30-day Hiring Pulse, Workflow automation appears in 15 of 593 observed opportunities (2.5%). Counts are multi-label, so one opportunity may contribute to several technology buckets. This is a separate aggregate sample, not a confirmation of this opportunity’s availability.

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