Project
Senior Full-Stack Developer — AI-Powered SaaS Web Platform MVP
Deadline not provided — verify source
Full-stack LLM engineer — multimedia recommendation / document workflow
Contract evidence involving React, Python, FastAPI. First observed 19 Oct 2026; the response opens on upwork.com.
- Budget
- Not provided by source
- Work format
- Contract
- Role family
- AI / ML engineer
- Seniority
- Level not stated
- Observed
- 19 Oct 202630 hours old
- Deadline status
- Deadline not provided — verify source
- Response destination
- upwork.com
Opportunity summary
Full-stack LLM engineer — multimedia recommendation / document workflow. The source classifies this as contract work involving React, Python, FastAPI, PostgreSQL, pgvector, Redis, Docker, GitHub Actions, AWS, OpenAI API, OpenTelemetry, Python/FastAPI + OpenAI + pgvector, React/Next.js + FastAPI, AWS + Docker + GitHub Actions. Location or remote eligibility: Worldwide; agency/named-candidate acceptance not stated.
Technology and scope
The reported stack is Python; FastAPI; PostgreSQL/pgvector; Redis; OpenAI/Claude; Pydantic; React; Langfuse/OpenTelemetry; Docker; GitHub Actions; AWS. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Contract: time-bounded or ongoing contractor capacity. Source timing: Brief: 4 weeks, maximum 5; metadata: 3–6 months, <30 h/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 19 Oct 2026, 17:57 UTC. Public since 20 Oct 2026, 21:00 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, React appears in 149 of 583 observed opportunities (25.6%). 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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