AI Automation Developer — n8n, APIs, WhatsApp and CRM Integrations
Other / unclear evidence involving JavaScript, Python, PostgreSQL. First observed 6 Sept 2026; the response opens on upwork.com.
- Technology
- JavaScriptPythonPostgreSQLDockerOpenAI APIWorkflow automation+2 more in the evidence
- Budget
- $350
- Work format
- Other / unclear
- Role family
- AI / ML engineer
- Seniority
- Level not stated
- Observed
- 6 Sept 202659 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- upwork.com
Opportunity summary
AI Automation Developer — n8n, APIs, WhatsApp and CRM Integrations. The source classifies this as other / unclear work involving JavaScript, Python, PostgreSQL, Docker, OpenAI API, Workflow automation, n8n, n8n + OpenAI + CRM/API. Location or remote eligibility: Worldwide remote; agency buyer, but subcontractor/agency-nominated route should be confirmed.
Technology and scope
The reported stack is n8n, APIs, webhooks, OpenAI, Claude, WhatsApp Cloud API, Google Drive, Gmail, Calendar, CRM, JavaScript, Python, Docker, Supabase, PostgreSQL, VPS. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Other / unclear: a demand signal whose commercial format is not explicit enough to classify more narrowly. Source timing: Initial fixed task with several projects per month; ongoing and contract-to-hire indicated
Budget
Source budget wording: $350. Confirm the currency, unit, scope and payment terms before preparing a proposal.
Dates and availability
First observed by Leadiy on 6 Sept 2026, 22:32 UTC. Public since 21 Sept 2026, 00:30 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, JavaScript appears in 34 of 315 observed opportunities (10.8%). 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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