Project
Production AI agents, RAG and automation systems
Deadline not provided — verify source
Universal AI agent — source discovery and structured search
Project evidence involving RAG, AI agents and agentic workflows. First observed 20 Oct 2026; the response opens on freelancehunt.com.
- Technology
- RAGAI agents and agentic workflows
- Budget
- 577 USD (displayed project budget)
- Work format
- Project
- Role family
- Software engineer
- Seniority
- Level not stated
- Observed
- 20 Oct 20262 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- freelancehunt.com
Opportunity summary
Universal AI agent — source discovery and structured search. The source classifies this as project work involving RAG, AI agents and agentic workflows. Location or remote eligibility: Brief explicitly accepts a developer/team; no onsite restriction shown. Ukraine supplier route and buyer identity require confirmation..
Technology and scope
The reported stack is AI agents, LLM/RAG, crawling, APIs, databases; implementation stack to be proposed. 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: MVP timeline requested from supplier; not fixed
Budget
Source budget wording: 577 USD (displayed project budget). Confirm the currency, unit, scope and payment terms before preparing a proposal.
Dates and availability
First observed by Leadiy on 20 Oct 2026, 11:00 UTC. Public since 22 Oct 2026, 09:00 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
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. This is a separate aggregate sample, not a confirmation of this opportunity’s availability.
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