???? We’re Hiring: Senior AI Engineer (On-Prem & Agentic Workflows)
???? Location: Riyadh, Saudi Arabia (On-site)
???? Experience: 3+ Years
???? Type: Full-time

The Role

We are looking for a high-velocity Senior AI Engineer who doesn’t just build models—but designs entire intelligent ecosystems.

You’re comfortable close to the metal. You know how to extract performance from on-premise hardware, while leveraging agentic workflows and “vibe coding” to ship production-ready features at speed.

This role bridges cutting-edge AI research (LLMs, Computer Vision) with secure, production-grade on-prem DevOps.

Core Responsibilities

Architect RAG & Agentic Systems
Design and implement advanced Retrieval-Augmented Generation (RAG) pipelines handling complex, multi-source data with high precision.

Computer Vision Integration
Build and deploy CV applications (object detection, segmentation, OCR) that integrate seamlessly into AI-driven workflows.

On-Premise AI DevOps Ownership
Own the lifecycle of AI systems on local infrastructure, including GPU clusters, containerization (Docker/Kubernetes), and data sovereignty.

High-Velocity “Vibe Coding”
Use agentic IDE tools (Claude Code, GitHub Copilot/Codex, or similar) to rapidly prototype, refactor, and deploy.
You focus on architecture and intent—AI handles the boilerplate.

Performance Optimization
Profile and optimize Python-based AI services for low-latency inference in private cloud / on-prem environments.

Required Skills & Qualifications
AI & Machine Learning

Strong experience with LLMs, prompt engineering, and frameworks such as LangChain, LlamaIndex, or AutoGen

Hands-on experience with Computer Vision using OpenCV, PyTorch, or TensorFlow

Deep understanding of RAG systems and vector databases (Pinecone, Milvus, Weaviate)

Technical Proficiency

3+ years of professional Python experience building clean, scalable, async systems

Power-user experience with AI coding assistants / agentic development tools

Experience with inference servers or vLLM

Comfortable with Linux, GPU drivers, and on-prem infrastructure

Experience with CI/CD pipelines for AI systems

Soft Skills

Adaptive problem-solving in fast-moving environments

Strong security mindset for handling sensitive, on-prem data

Location, Relocation & Visa Support

???? Primary location: Riyadh, Saudi Arabia (On-site)
✅ Candidates currently based in Riyadh are preferred
???? Candidates willing to relocate to Riyadh are welcome to apply
✈️ Visa sponsorship and relocation support will be provided for eligible candidates
Interested Candidates send your resume on [email protected] or [email protected]
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