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Python Developer for AI Chatbot & OpenAI API

Hiring evidence involving Python, FastAPI, OpenAI API. First observed 26 Sept 2026; the response opens on upwork.com.

Budget
$20 fixed price
Work format
Hiring
Role family
AI / ML engineer
Observed
26 Sept 20265 days old
Deadline status
Deadline not provided — verify source
Response destination
upwork.com

Source job details

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

Hiring organization
Undisclosed Florida client
Source reference
OPP-20260926-1438
Location evidence
Florida, US / worldwide remote
Employment type
contractor
Required skills
Python, OpenAI API, FastAPI, REST APIs, database basics, chatbot
Expected duration
$20 fixed listing; already hired one freelancer

Opportunity summary

Python Developer for AI Chatbot & OpenAI API. The source classifies this as hiring work involving Python, FastAPI, OpenAI API. Location or remote eligibility: Worldwide remote; contract-to-hire, but commercial terms are incompatible.

Technology and scope

The reported stack is Python, OpenAI API, FastAPI, REST APIs, database basics, chatbot. 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: $20 fixed listing; already hired one freelancer

Budget

Source budget wording: $20 fixed price. Confirm the currency, unit, scope and payment terms before preparing a proposal.

Dates and availability

First observed by Leadiy on 26 Sept 2026, 22:33 UTC. Public since 2 Oct 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, Python appears in 423 of 1186 observed opportunities (35.7%). 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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