RAG opportunity signals
Delayed public records with source budgets, dates and response destinations.
Delayed RAG records
Newest observations first within each group. A published record is not confirmation that an opportunity is still open. Check the original source; date-only deadlines use midnight UTC.
Multi-role team — 12-month phased SaaS build
AI integration roadmap for retail POS SaaS
n8n RAG support chatbot for WhatsApp and website
AI Agent Expert — Python, LLMs, n8n and Zapier
PythonRAGAI agents and agentic workflowsTool/function calling
AI Developer & Automation Expert — agents, RAG, voice, n8n and APIs
AI & LLM Engineer — agents, RAG and OpenAI API
AI Infrastructure Specialist
AI Engineer / Agent Developer for RAG assistant and API integration
Full Stack AI Developer — agent/RAG web application
AI Engineer — AWS cloud experience required
AI Engineer — Agentic Workflows & GenAI product advisor
Next.js Engineer / Senior TypeScript AI Engineer
n8n AI Agent + Next.js API integration
Full-Stack Developer for CRM Dashboard with AI Chat
Applied AI Engineer — investment-banking research and operations workflows
AI Agent & Automation Architecture Consultation
Full-Stack AI Engineer — Hybrid RAG System and Admin Portal
AI Automation Engineer
AI/LLM Backend Engineer
Middle AI/Python Engineer
Junior–Middle Backend Developer (Node.js, LLM/RAG, MCP, AI agents)
AI Lead (LLM, R&D & Enterprise AI)
Senior AI Engineer — production LLM agents / MCP
AI RAG Developer — Production Multi-Document Knowledge Assistant
Build AI Customer Operations Agent for B2B SaaS
Senior Solution Architect with Agentic AI
AI Automation Specialist for n8n Customer Support Workflow
Forward Deployed Engineer (OpenAI)
AI Engineer
Senior Agentic AI Engineer
Full Stack Developer — .NET / React / AI
AI automation specialist for process audits and multi-client delivery
Full-stack developer for AI agents and MCP integration
Snowflake ML, Cortex and RAG paired training engagement
Backend Developer — agentic workflows, n8n and conversational AI
Full-stack, cloud and AI developers for growing agency
Senior AI Developer — HIPAA-Compliant Healthcare AI Platform
AI Engineer / AI Automation Developer — production agents, RAG and n8n
Senior Full-Stack AI Engineer — Multi-Model Chat, Research & Memory
RAG Engineer — AI Agents for School Management System
Full-Stack Developer — AI SaaS Platform
Configuration-Driven Marathi Administrative Drafting Engine
AI Security and Workflow Automation Architect for Validation & Technical Consultancy
Senior Lead AI Full Stack Developer
AI Automation & Agent Developer
AI-Native Full-Stack Developer & Automation Lead
Senior AI Full-Stack Developer
Internal Knowledge Base Chat Tool
Developer for AI Development & Engineering — production AI systems
AI Engineer — Customer Operations Agent for B2B SaaS
AI Engineer — production-ready assistant / RAG chatbot
Senior Full-Stack AI Engineer — take RAG prototype to production
AI Full Stack Engineer — RAG, agents, FastAPI and React/Next.js
Développeur IA — RAG, Agentic AI and Azure
AI Engineer — production agent platform, RAG and MCP
Full-Stack / AI Developer for live SaaS platform
AI Engineer — Production Agentic AI, RAG & LLM Systems
Full Stack Engineer (Python/AWS)
Agentic AI Developer for Healthcare Operations Platform
Source facts, dates and commercial context.
Audit methodology →What this hub measures
This hub tracks delayed public opportunities normalized to RAG. It is not a copy of one marketplace search and it is not a claim about the entire software economy. Leadiy brings source records into one controlled technology catalog, waits between 24 and 48 hours, applies a content-quality gate, and only then exposes an indexable evidence page. The hub’s job is to make a recurring technical theme inspectable: which roles or outcomes mention it, which commercial formats appear, whether budget wording is available, when each signal was first observed, and where the original response actually goes.
Catalog definition
RAG sits in the catalog area for AI-enabled products and workflow automation. Its controlled matching expression is “RAG.” For this individual technology, common spelling aliases are resolved to the stable RAG identifier before the page is assigned. This method keeps source vocabulary from fragmenting the index while preserving uncertainty. A tag means the technology is explicitly detectable in public-safe opportunity fields. It does not prove seniority, version, architecture, mandatory scope or equal importance among every tool named in a stack.
Demand 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. The aggregate comparison is attached to the latest verified 30-day edition and uses overlapping technology counts. It is therefore possible for one opportunity to appear under several hubs. That is a feature of real stack demand, not double counting inside an exclusive market-share chart. Sparse categories can be suppressed, and a missing exact count should not be rewritten as zero. The hub uses Hiring Pulse to provide dated context beyond a list of links, while the methodology page explains the observation window, minimum bucket size, freshness and other limitations.
Commercial mix
At this moment the delayed RAG register contains 266 published records. Its visible work-format mix is 62 Project, 114 Contract, 77 Hiring, 13 Other / unclear. 76 records carry a non-empty published budget string. Those values are not summed because fixed prices, hourly rates, salaries and ranges do not share a safe scale. Each record keeps its own budget wording and commercial classifier so a visitor can distinguish project delivery, contract capacity, formal procurement and hiring before opening the source.
Current register
The current record titles are "Senior Full-Stack Developer — AI-Powered SaaS Web Platform MVP", "Multi-role team — 12-month phased SaaS build", "AI integration roadmap for retail POS SaaS", "n8n RAG support chatbot for WhatsApp and website", "AI Agent Expert — Python, LLMs, n8n and Zapier" Titles describe the requested role or outcome, but they are not full requirements. Read each record for its reported stack, engagement format, budget wording and dates. A deadline is shown only when explicitly available; a missing date does not mean a source is accepting responses. Related opportunities can help compare scope, but the original source remains authoritative. Leadiy does not publish private notes, buyer contacts, prepared outreach or raw imported rows. Source job details appear only when supplied as public-safe fields.
Related topics
Related topics in the same catalog area include OpenAI API, OpenAI Agents SDK, LLM integrations, AI agents and agentic workflows, Tool/function calling, Vector search and knowledge systems. They provide navigation, not keyword substitution. A RAG record may legitimately belong to several technology hubs when its source-safe fields name several technologies, and a validated combination may sit beside its components. This makes co-occurrence visible without creating dozens of invented micro-pages from arbitrary phrases. The canonical catalog remains the authority for onboarding choices, private matching and public hub routing, so the product does not maintain three competing lists of what a technology means.
The public time fence
Every record in this hub carries two clocks. “First observed” means when Leadiy saw the opportunity, with import time as a fallback; it does not reconstruct the source’s original publication timestamp. “Public since” follows a deterministic delay between 24 and 48 hours, fixed from the record identifier so restarts cannot shorten it. The source can close or change after observation, which is why the response button opens the original destination and why the third-party page remains authoritative. Public indexing supports later discovery; subscribers use the earlier matched feed when lead time matters.
Earlier access
Leadiy’s paid proposition is deliberately narrower than the public evidence: the same opportunities, one day earlier. Authenticated users act on fresh matched records; unauthenticated visitors can still inspect the delayed RAG ledger, understand its classification and reach the disclosed source. Neither path is an application guarantee. The source controls the live post, and the buyer controls selection. This division makes the hub indexable and genuinely informative without removing the timing advantage that funds the product.
The same opportunities, one day earlier.
See the $39 / 30-day plan →