No hiring · No hand-offs · No calendar latency

HIBR is staffed by AI agents
operating in closed loops

Every job function a typical software company hires for — engineers, designers, QA, customer success — is fulfilled here by a dedicated AI agent running 24/7 inside a self-reinforcing loop. We're not "AI-augmented." We're AI-staffed. Here's the full map.

🤖 300+ agents in the fleet 🔁 11 Singularity Loops running continuously Zero recruiter latency — agents spawn on demand

Why no human hiring

The conventional ERP playbook needs 7+ humans to ship and operate. We compress that into a 24/7 agent fleet that operates the running product, not just builds it. Same outcome, none of the throughput bottlenecks of human teams.

01

Agents operate, not just build

A human engineer ships code, then goes home. An AI engineering agent ships code and stays on call. Same agent files the tax return, answers the customer, audits the ledger.

02

Roles are loops, not job descriptions

Every "position" is a closed loop with an input, a quality gate, and an output. The agent assigned to it iterates until the gate passes. No 1:1s, no perf reviews, no resignation risk.

03

Cost compresses with scale

Hiring 7 humans = 1.5M/yr. Running 280 agents = the marginal cost of inference. As we add customers, agent throughput grows; payroll doesn't.

04

The owner stays single-threaded

No HR, no people management, no calendar war. The owner reviews outcomes from the agent fleet, not status updates from humans.

The 7 positions we don't hire — and what runs them instead

Every role a typical SaaS company would hire for is mapped to a specific AI agent (or set of agents) with a defined input/output contract and the Singularity Loop it participates in.

Senior Backend Engineer

240K/yr · UAE-based · 5+ years Frappe
Live as agent
engineering-backend-architect hibr-erp-frappe-engineer engineering-database-optimizer
Owns the ERPNext fork architecture, the 4 Hibr custom apps (hibr_uae, hibr_ai, hibr_storefront, hibr_infra), DocType design, Frappe hooks, server scripts, MariaDB performance, AWS me-central-1 infrastructure, security hardening. Ships features end-to-end and stays on call for incidents.
Loop 2 · Product InnovationLoop 3 · Client Delivery

Mid-Level Backend Engineer

144K/yr · MENA remote · 2-4 years Python
Live as agent
engineering-senior-developer engineering-rapid-prototyper engineering-code-reviewer
Implements feature tickets, writes tests, performs PR reviews, builds prototypes for new ideas, maintains the bench Skills library. Coordinates with the architect agent via the agent task queue.
Loop 2 · Product InnovationLoop 3 · Client DeliveryLoop 5 · Self-Improvement

Senior Frontend Engineer

216K/yr · Vue/React · component systems
Live as agent
engineering-frontend-developer engineering-cms-developer design-whimsy-injector
Owns the Vue 3 frontend, PWA + offline mode, Arabic RTL native rendering, design-system fidelity, and the public marketing pages. Ships the Storefront + AI Website Builder UI.
Loop 2 · Product InnovationLoop 1 · Revenue Generation

AI / ML Engineer

240K/yr · 4+ years applied ML / LLM ops
Live as agent
engineering-ai-engineer data-ml-engineer engineering-open-source-runtime-specialist
Owns the AI Tax Co-pilot RAG over FTA legislation, Receipt OCR (Claude Vision), Bilingual Bookkeeper (Whisper + Claude), Cash Flow Forecaster, Reorder Advisor, WhatsApp Agent. Selects models, builds eval harnesses, monitors AI cost.
Loop 2 · Product InnovationLoop 4 · Intelligence & Risk

UI / UX Designer

144K/yr · Arabic-first design experience
Live as agent
design-ui-designer design-ux-architect design-brand-guardian design-ux-researcher
Owns user flows, wireframes, the design system, Arabic RTL design fidelity, accessibility (WCAG AA), and brand consistency across product, marketing, and email. Runs continuous UX research via the customer-feedback synthesizer.
Loop 2 · Product InnovationLoop 1 · Revenue Generation

QA Engineer

120K/yr · 3+ years SaaS QA · automation
Live as agent
operations-quality-assurance-lead testing-reality-checker testing-evidence-collector testing-api-tester
Enforces the Definition-of-Done gate on every PR, runs the full automated regression suite, captures visual evidence, audits every claimed "complete" against reality. Refuses fantasy approvals.
Loop 3 · Client DeliveryLoop 5 · Self-Improvement

Customer Success Manager

120K/yr · UAE-based · Arabic + English
Live as agent
project-management-customer-success research-development-customer-success-auditor sales-renewal-specialist sales-expansion-specialist
Runs the 4-hour kickoff SLA on every new paid order, subscription dunning, refund/dispute workflow, renewal D-60 conversations, expansion-signal handoff, NPS monitoring, churn-risk detection. Hands off to the Renewal and Expansion specialists when signals fire.
Loop 3 · Client DeliveryLoop 1 · Revenue Generation

The core Singularity Loops that wire them together

Agents don't operate in isolation — each participates in one or more closed, self-reinforcing loops. The owner reviews loop outcomes, not the agents.

LOOP 1

Revenue Generation

LOOP 2

Product Innovation

LOOP 3

Client Delivery

LOOP 4

Intelligence & Risk

LOOP 5

Recursive Self-Improvement

Want to see the agent fleet in action?

Watch the autonomous system actually shipping. Daily activity feed, agent call counts, revenue tracking, the whole stack. Owner-only dashboard, but the public outputs are everywhere.

See HIBR ERP →    Back to Hibr AI →

Editorial & review standards

Every page and client deliverable Hibr AI publishes is reviewed and signed off by a named human principal — Muath Alshuhail, Founder & Principal AI Consultant — who is accountable for its accuracy. Prices and facts reflect our current practices as of each page's last-updated date, and we correct errors promptly. Spotted something to fix? Email info@hibr.ai.