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Full-stack developer for healthcare AI evaluation platform

Hiring evidence involving AI agents and agentic workflows. First observed 5 Sept 2026; the response opens on upwork.com.

Budget
Not provided by source
Work format
Hiring
Role family
AI / ML engineer
Observed
5 Sept 202612 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
BenchEval
Source reference
OPP-20260905-710
Location evidence
United Kingdom / Europe-London
Employment type
contractor
Required skills
Full-stack web development, AI agents/bots, modern UI/UX, healthcare AI evaluation, secure product delivery
Expected duration
6+ months; 30+ h/week

What this signal says

The observed opportunity titled “Full-stack developer for healthcare AI evaluation platform” enters this catalog as a market signal with a traceable source. Leadiy does not republish the original description. Instead, it separates a few decision-grade facts from the private operating record and adds context from the same demand dataset. That boundary matters: the public edition can help a developer or agency assess relevance, while the source remains responsible for complete requirements, eligibility, current status and the actual response flow. Any fact not shown here should be checked at that destination.

How the technology was normalized

The controlled technology reading for this record is AI agents and agentic workflows. That label is derived from explicit terms in the role, primary technology and stack fields; it is not inferred from the buyer’s identity or from private contact context. Normalization folds common spelling and naming variants into one catalog so this page can be compared with other records. A combination tag appears only when every required part of that combination is detected. The result is a search aid, not a guarantee that every named tool is equally central to the delivery scope.

Commercial format

Leadiy reads the buying motion as Hiring. This matters because the response shape for a deliverable, contractor seat, formal proposal and employment application is not interchangeable. The category is a classifier output rather than a legal characterization, and the original post wins if its terms change. The available duration wording is “6+ months; 30+ h/week.” Work-location context is recorded as “Worldwide remote; contract-to-hire; agency-nominated candidate eligibility not stated.”

Reading the budget

No budget value was supplied in the imported source record. The page labels this plainly as “Budget not provided by source” so publication status cannot be confused with compensation coverage. An absent figure is not converted into zero and is not inferred from neighbouring opportunities. The original destination remains the authority for price, salary, rate unit, fees, milestones and any later updates.

Demand context from Hiring Pulse

The current 30-day Hiring Pulse does not expose a separate publishable bucket for this exact normalized stack. That absence is not a zero-demand claim: multi-label classification and the privacy threshold can keep a narrow bucket out of the public table. The comparison is dated through 2026-09-18 and describes Leadiy’s observed sample, not the whole software market. It helps answer whether this record sits beside other visible signals, but it does not prove future demand, market share or buyer intent. The individual page and the aggregate Pulse use the same public-safe vacancy and project scope, while direct leads and personal data remain excluded from both.

Observation and publication timing

Leadiy first observed this signal on 5 Sept 2026, 07:31 UTC; at page render it is 12 days old. Its public eligibility time was calculated once from that observation using a deterministic 43.47-hour delay inside the promised 24–48 hour window. The delay is not the source publication age and should not be presented as one. It creates a clear product boundary: authenticated customers can work from the live matched feed, while search engines and unauthenticated visitors receive a later evidence edition. The stored eligibility timestamp prevents an early publish after restarts or repeated syncs.

What looks similar

The related-record layer searches already published pages for overlap in the controlled technology catalog. It does not inspect private contacts and it does not use a buyer name as a recommendation signal. The closest current titles are: "Zoho AI Agent Developer — CRM, SalesIQ and sales funnel", "n8n AI-agent lead-processing pipeline", "AI Automation Analyst — business-process improvement" Treat them as adjacent demand signals, not substitutes for reading the original post. Their engagement format, budget unit, eligibility and delivery expectations may differ even when a framework or platform matches. This page keeps that uncertainty visible rather than manufacturing a single “typical” opportunity from unlike records.

Where the response goes

This page’s action route is explicit: it opens Upwork on upwork.com. Leadiy provides context and provenance, not an application proxy. A click can therefore lead to a third-party login or proposal workflow governed by that service’s own privacy, eligibility and payment rules. The public catalog never replaces those instructions and never publishes a hidden email address as an alternate route. Review the destination hostname, confirm that the opportunity is still active, and respond only through a path you trust.

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.

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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.

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