Available for Contracts • Riyadh • SAR 112 / hr ($30/hr)

AI Engineer for Hire in the GCC

Senior AI engineer building custom RAG pipelines, autonomous LLM agents, and intelligent web applications across the GCC.

Quick Answer
Yes. You can hire Umar Farooq as an AI engineer across all six GCC countries (Saudi Arabia, UAE, Qatar, Kuwait, Bahrain, and Oman). Based in Riyadh (AST), Umar designs production RAG pipelines, autonomous agent workflows, and secure OpenAI and Claude integrations for modern applications at SAR 112 ($30) per hour.
Core Stack:
Python
OpenAI
Claude API
pgvector
Laravel AI SDK
Next.js
TypeScript
Redis
T-01
All 6 GCC States
Coverage
T-02
5+ Years
Experience
T-03
80+
Completed Projects
T-04
RAG & Agents
Focus
Strategic Advantage

Engineered for GCC Enterprises

Reliable AI systems built for regional data privacy, bilingual workflows, and high production accuracy.

GCC Remote-First

Regional GCC Coverage

Serving businesses in Saudi Arabia, UAE, Qatar, Kuwait, Bahrain, and Oman with full workday overlap on AST (UTC+3).

Vector Search

Production RAG Pipelines

Vector search with PostgreSQL pgvector and Pinecone, document chunking, semantic re-ranking, and strict citation grounding.

Agent Workflows

Autonomous AI Agents

Tool calling, structured JSON output validation, multi-step reasoning, and human-in-the-loop workflows with OpenAI and Claude.

Privacy First

Data Residency & Security

Architectures that isolate client data in private tenant environments, preventing corporate information from training public models.

Enterprise AI Pipeline

Building an Enterprise RAG Assistant for Document Search

Real Engineering Case • First-Person Delivery Breakdown

GitHub Profile

The Challenge & Context

A regional services firm in the GCC needed an internal knowledge assistant to parse complex operational manuals and policy documents without leaking private data to public model training.

The Engineered Solution

I built a secure RAG pipeline using PostgreSQL pgvector and Claude, adding strict document chunking, semantic re-ranking, and output verification filters.

Key Engineering Takeaway

Grounding AI retrieval in domain-specific metadata and strict citation checks is the only reliable way to prevent hallucinations in enterprise applications.

Verified Production Metrics

-70% Time

Query Resolution

99.4%

Citation Accuracy

0%

Data Leakage

PostgreSQL pgvector search with hybrid keyword matching
Deterministic JSON schemas preventing ungrounded outputs
Full data isolation on client-controlled infrastructure
Engagement Models

Predictable Rates. Zero Intermediary Overhead.

Work directly with Umar Farooq. Full IP ownership and clean source code from day one.

Dedicated AI Hourly Sprint
SAR 112/ hour ($30/hr)

Specialized AI engineering sprints

Ideal for RAG pipeline development, agent tool integrations, prompt evaluation, and LLM API setup.

Direct access to senior AI engineer
Custom RAG & vector database setup
OpenAI, Claude, and open-weight models
Real-time evaluation benchmarks
Recommended
Complete AI Product Build
Custom Quoteafter free scoping call

End-to-end intelligent application

Detailed milestone estimate provided after a free 30-minute scoping call based on your exact product scope.

Full system architecture & data pipeline
Frontend UI with responsive streaming
Vector store & embedding infrastructure
Complete source code and model prompts
Monthly AI Architecture Retainer
Custom Retainerbased on monthly hours

Continuous AI evolution & maintenance

Ongoing prompt optimization, vector index maintenance, new tool integrations, and accuracy monitoring agreed upon your roadmap.

Continuous model evaluation & tuning
New tool calling integrations
Embedding database maintenance
Priority technical support & guidance
Engineering Workflow

The 4-Step Delivery Pipeline

A disciplined process from initial technical alignment to production release.

Sprint Cycle: 1-2 Weeks
Phase 01Discovery

Data Audit & Use-Case Mapping

Analyze your documents, security requirements, and operational workflows to select the right model and pipeline design.

Data AuditPrivacy ScopeModel Selection
Phase 02Pipeline Build

Vector Embeddings & Retrieval

Implement document chunking, generate embeddings, and configure vector search with PostgreSQL pgvector.

pgvectorOpenAI EmbeddingsRe-ranking
Phase 03Agent Tooling

Agent Logic & Guardrails

Connect autonomous tools, define structured output schemas with Zod, and establish citation verification checks.

Tool CallingStructured OutputsGuardrails
Phase 04Deployment

Production Release & Handover

Deploy the application with streaming responses, telemetry monitoring, and complete documentation handover.

Vercel EdgeStreaming UIFull Ownership
Direct Answers

Frequently Asked Questions

Clear technical answers to common questions about availability, rates, and integrations.

I serve clients across all six GCC member states, including Saudi Arabia, UAE, Qatar, Kuwait, Bahrain, and Oman through remote-first collaboration.

Ready to Collaborate

Let's build your next system with speed and precision.

Book a direct 30-minute scoping call or message directly on WhatsApp to get started.

Start a Project