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Full-stack AI tutoring platform developer

Hiring evidence involving React, Python, PostgreSQL. First observed 29 Aug 2026; the response opens on upwork.com.

Budget
Not provided by source
Work format
Hiring
Role family
AI / ML engineer
Observed
29 Aug 202655 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
Spark Tutoring
Source reference
OPP-20260829-193
Location evidence
United Kingdom / GMT-BST
Employment type
full time
Required skills
Django, Python, PostgreSQL, Pinecone, RAG, React, mobile, Vercel, DigitalOcean
Expected duration
More than 6 months; 40+ hrs/week; on-call

Opportunity summary

Full-stack AI tutoring platform developer. The source classifies this as hiring work involving React, Python, PostgreSQL, RAG. Location or remote eligibility: Remote worldwide, but 40+ hrs and evening/weekend on-call.

Technology and scope

The reported stack is Django, Python, PostgreSQL, Pinecone, RAG, React, mobile, Vercel, DigitalOcean. 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: More than 6 months; 40+ hrs/week; on-call

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 29 Aug 2026, 02:59 UTC. Public since 8 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, React appears in 153 of 593 observed opportunities (25.8%). 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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