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Founding AI Product Engineer for personal-intelligence MVP

Contract evidence involving TypeScript, React, PostgreSQL. First observed 28 Aug 2026; the response opens on vollna.com.

Technology
TypeScriptReactPostgreSQLpgvectorCloudflareOpenAI API+1 more in the evidence
Budget
Not provided by source
Work format
Contract
Role family
AI / ML engineer
Seniority
Level not stated
Observed
28 Aug 202654 days old
Deadline status
Deadline not provided — verify source
Response destination
vollna.com
View on Vollna / Upwork →The same opportunities, one day earlier.

Opportunity summary

Founding AI Product Engineer for personal-intelligence MVP. The source classifies this as contract work involving TypeScript, React, PostgreSQL, pgvector, Cloudflare, OpenAI API, RAG. Location or remote eligibility: Remote marketplace listing; international contractor, agency and Ukraine eligibility are not stated — verify before proposal spend.

Technology and scope

The reported stack is React, TypeScript, Cloudflare, Railway, Supabase, Postgres, Auth, Storage, pgvector, OpenAI or Anthropic, PostHog, Stripe, GitHub, RAG, AI evaluations. Check the source for required versions, deliverables and which technologies are mandatory.

Engagement details

Contract: time-bounded or ongoing contractor capacity. Source timing: Initial paid trial, then 4–6-week MVP with 1–2 founder sessions per week

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 28 Aug 2026, 21:00 UTC. Public since 7 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 140 of 622 observed opportunities (22.5%). 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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