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Python AI/LLM and data architecture audit and advisory

Hiring evidence involving Python, FastAPI, OpenAI API. First observed 20 Oct 2026; the response opens on upwork.com.

Budget
Not provided by source
Work format
Hiring
Observed
20 Oct 20262 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 client
Source reference
OPP-20261020-1809
Location evidence
Not disclosed
Employment type
contractor
Required skills
Python; FastAPI; OpenAI API; AI agents; RAG; NLP; APIs
Expected duration
Less than30h/week;1–3months

Opportunity summary

Python AI/LLM and data architecture audit and advisory. The source classifies this as hiring work involving Python, FastAPI, OpenAI API, RAG, AI agents and agentic workflows. Location or remote eligibility: Remote listing; Ukraine and agency eligibility not confirmed.

Technology and scope

The reported stack is Python; FastAPI; OpenAI API; AI agents; RAG; NLP; APIs. 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: Less than30h/week;1–3months

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 20 Oct 2026, 16:57 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, Python appears in 181 of 593 observed opportunities (30.5%). 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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