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AI document assistant across Django, Node.js and Next.js

Contract evidence involving TypeScript, Next.js, Node.js. First observed 3 Sept 2026; the response opens on upwork.com.

Technology
TypeScriptNext.jsNode.jsPostgreSQLpgvectorRedis+4 more in the evidence
Budget
Not provided by source
Work format
Contract
Role family
Software specialist
Seniority
Level not stated
Observed
3 Sept 202655 days old
Deadline status
Deadline not provided — verify source
Response destination
upwork.com
View on Upwork (public listing indexed by Vollna) →The same opportunities, one day earlier.

Opportunity summary

AI document assistant across Django, Node.js and Next.js. The source classifies this as contract work involving TypeScript, Next.js, Node.js, PostgreSQL, pgvector, Redis, AWS, RAG, Next.js + Supabase/PostgreSQL, Next.js + Node.js/NestJS. Location or remote eligibility: Remote marketplace listing; explicitly allows the lead to bring one additional engineer, with one point of contact.

Technology and scope

The reported stack is Django, DRF, PostgreSQL, Celery, Redis, Node.js, TypeScript, Express, BullMQ, Next.js, AWS ECS, S3, pgvector, LLM/RAG, CI evals. Check the source for required versions, deliverables and which technologies are mandatory.

Engagement details

Contract: time-bounded or ongoing contractor capacity. Source timing: Not published; end-to-end production feature across two backends and frontend

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 3 Sept 2026, 17:32 UTC. Public since 14 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, TypeScript appears in 54 of 325 observed opportunities (16.6%). 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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