Contract
Senior Full Stack Developer — AI/ML SaaS (Houston client)
Deadline not provided — verify source
Gamified AI-powered learning platform for high-school students
Contract evidence involving TypeScript, React, Next.js. First observed 28 Aug 2026; the response opens on upwork.com.
- Budget
- Not provided by source
- Work format
- Contract
- Role family
- Software specialist
- Seniority
- Level not stated
- Observed
- 28 Aug 202655 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- upwork.com
Opportunity summary
Gamified AI-powered learning platform for high-school students. The source classifies this as contract work involving TypeScript, React, Next.js, Node.js, NestJS, Python, FastAPI, PostgreSQL, Redis, Docker, AWS, OpenAI API, RAG, Next.js + Supabase/PostgreSQL, Next.js + Node.js/NestJS, React/Next.js + FastAPI. Location or remote eligibility: Worldwide remote; individual contractor route; agency eligibility not explicit.
Technology and scope
The reported stack is React, Next.js, TypeScript, Tailwind, Node.js/Python, FastAPI/Django/NestJS, PostgreSQL, Redis, OpenAI/Claude/Gemini, RAG, AWS/Azure/GCP/Supabase, Docker. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Contract: time-bounded or ongoing contractor capacity. Source timing: 3–6 months; <30 h/week; ongoing product roadmap
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, 23:01 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, TypeScript appears in 136 of 593 observed opportunities (22.9%). 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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