Contract
Full-Stack AI Developer — AI marketing SaaS MVP
Hiring evidence involving React, Next.js, Node.js. First observed 9 Sept 2026; the response opens on upwork.com.
- Budget
- US$500.00
- Work format
- Hiring
- Role family
- AI / ML engineer
- Seniority
- Level not stated
- Observed
- 9 Sept 202615 days old
- 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 Saudi client
- Source reference
- OPP-20260909-1073
- Location evidence
- Saudi Arabia / Arabia Standard Time
- Employment type
- contractor
- Required skills
- React, Next.js, Node.js, Python, FastAPI, PostgreSQL, vector database, RAG, REST APIs, authentication, AI agents, payments, cloud deployment
- Expected duration
- Ongoing project; MVP timeline not published
What this signal says
This is a delayed public reading of the demand behind “Full-Stack AI Developer — AI marketing SaaS MVP.” It is deliberately smaller than the private workspace record and deliberately more interpretive than the source listing. The page identifies the work, translates its technology language into Leadiy’s controlled catalog, names the commercial format and preserves the original application destination. It does not publish personal contacts, internal qualification, prepared outreach or hidden source fields. Read it as an evidence note about one observed opportunity, with the source link retained for the current authoritative details.
How the technology was normalized
This record contributes to the normalized topic set React, Next.js, Node.js, Python, FastAPI, PostgreSQL, RAG, AI agents and agentic workflows, Next.js + Supabase/PostgreSQL, Next.js + Node.js/NestJS, React/Next.js + FastAPI. The mapping is evidence-based and intentionally conservative. It looks for named technology terms in the public-safe opportunity fields, resolves aliases, then checks any combination as a set of requirements rather than a loose keyword. This makes the page discoverable under stable technology hubs without pretending that a tag replaces technical due diligence. The source may contain additional context, but no unpublished contact or outreach field is used to create the public classification.
Commercial format
The engagement classifier places this record in Hiring: an employment-oriented search for an individual contributor or team member. That decision comes from the supplied opportunity-type language, using the same categories as Hiring Pulse—project, contract, RFP or procurement, hiring, and other or unclear. It does not convert an ambiguous request into a stronger claim. The imported public-safe work-format field also says “Worldwide remote; agency eligibility not stated.” The stated duration context is “Ongoing project; MVP timeline not published.”
Reading the budget
Budget evidence for this opportunity is limited to “US$500.00.” The catalog does not normalize unlike units or turn a marketplace headline into a guaranteed contract value. A visible figure can describe a cap, an estimate, a salary, a rate or only one phase of delivery. For that reason the page keeps the source wording beside the engagement format instead of producing a synthetic market price. The practical check is to confirm scope, unit, currency, fee treatment, milestone structure and whether the amount is still current on the original listing.
Demand context from Hiring Pulse
In the current 30-day Hiring Pulse, React appears in 357 of 1360 observed opportunities (26.3%). Counts are multi-label, so one opportunity may contribute to several technology buckets. Hiring Pulse is the contextual layer Leadiy adds beyond aggregation. It places the record against a verified observation window while keeping counting rules visible: technologies can overlap, the feed is not a census, and sparse groups are not disclosed as exact numbers. This evidence can support prioritization, not a forecast. The record still needs source-level verification, and the aggregate view deliberately omits direct leads, personal information, private outreach content and arbitrary micro-segments that could reveal too much.
Observation and publication timing
Timing here is explicit: observed by Leadiy on 9 Sept 2026, 20:33 UTC, 15 days old at the current request, then admitted to the public catalog after 39.66 hours. The system never recomputes a shorter delay because a page is requested frequently. This is an evidence timestamp, not a promise that the source remains open, and not a reconstruction of when the buyer first posted. Visitors who need the freshest matched records use the authenticated product; the public page is intentionally the later, indexable edition.
What looks similar
To build a useful neighbourhood around this record, Leadiy compares normalized technology IDs and favours the strongest overlap among pages that have already cleared the public delay. The current result is: "Senior Full-Stack Developer for Gamified AI-Powered Learning Platform", "Tutoring Center Management Web Application", "Enterprise AI Operations Console — 13-module MVP" This method makes relationships inspectable and avoids copying descriptive text from the source. Similarity means shared technical vocabulary, nothing more. It does not assert shared ownership, equal scope, equivalent seniority or an identical application process, and it can evolve as later records become publicly eligible.
Where the response goes
Applying means leaving Leadiy for upwork.com, identified here as Upwork. The link is the normalized direct source URL stored with the opportunity. No public form on Leadiy submits an application, and no contact detail is exposed as a shortcut. The destination can impose login, marketplace credits, identity checks, location limits or other terms that are outside this catalog. Verify the hostname and the current post before sharing information. If the source has closed or changed the opportunity, its live state is authoritative.
Public evidence versus earlier access
Leadiy sells timing, not a different truth: the same opportunities, one day earlier. Subscribers receive the fresh matched feed and private workflow before a record crosses its public time fence. The later page remains complete enough to stand alone, with provenance, classification, budget reading, aggregate context and related records. Subscription is not preferential treatment from the buyer, and it cannot guarantee availability or success. It is earlier awareness plus an operational workspace; the public catalog is the delayed evidence layer.
The same opportunities, one day earlier.
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The button opens upwork.com. That third-party page controls login, eligibility, proposal fields, privacy and the current status of the opportunity.