Hiring
Senior Full-Stack AI Engineer — Multi-Model Chat, Research & Memory
Deadline not provided — verify source
Full-Stack AI Engineer — Hybrid RAG System and Admin Portal
Project evidence involving React, Next.js, Node.js. First observed 28 Sept 2026; the response opens on upwork.com.
- Budget
- $300.00
- Work format
- Project
- Role family
- AI / ML engineer
- Seniority
- Level not stated
- Observed
- 28 Sept 20265 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- upwork.com
Opportunity summary
Full-Stack AI Engineer — Hybrid RAG System and Admin Portal. The source classifies this as project work involving React, Next.js, Node.js, FastAPI, pgvector, Docker, OpenAI API, RAG, Next.js + Node.js/NestJS, Python/FastAPI + OpenAI + pgvector, React/Next.js + FastAPI. Location or remote eligibility: Worldwide remote marketplace project; freelancer route available.
Technology and scope
The reported stack is Ollama, Qwen, OpenAI, Claude, RAG, Qdrant, Milvus, pgvector, FAISS, LangChain, LlamaIndex, FastAPI or Node.js, Next.js or React, Odoo, Zid, Docker, Arabic/English NLP, RBAC and audit trails. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Project: a defined delivery outcome rather than an open-ended employment relationship. Source timing: Ongoing project; MVP timeline requested but not published
Budget
Source budget wording: $300.00. Confirm the currency, unit, scope and payment terms before preparing a proposal.
Dates and availability
First observed by Leadiy on 28 Sept 2026, 12:28 UTC. Public since 4 Oct 2026, 00:00 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 260 of 915 observed opportunities (28.4%). 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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