Senior AI Engineer - Production LLM & RAG on GPU

Raqmiyat LLC; United Arab Emirates; On-site; AED 450,000 - 650,000; Full time

Job summary

Raqmiyat LLC in the United Arab Emirates is seeking an experienced AI Engineer with 6+ years in AI/ML and 3+ years operating production LLM systems to design, deploy, and scale enterprise‑grade generative AI applications and advanced RAG pipelines.

You will own end‑to‑end AI system architecture, GPU deployment, and performance optimization while collaborating with data scientists, ML engineers, and product teams to deliver robust production solutions on‑site in the UAE.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related technical discipline.
• Minimum 6+ years of progressive professional experience in AI/ML engineering and advanced software development.
• Mandatory minimum of 3+ years of hands‑on professional experience building, deploying, and operating production LLM systems.
• Proven practical expertise deploying open‑source LLMs on GPU infrastructure with mastery of serving frameworks and parallelism.
• Demonstrated ownership of RAG quality, vector databases, embedding models, and measurable retrieval evaluation metrics.
• Solid practical proficiency in Python programming, deep learning frameworks (PyTorch, TensorFlow), and ML ops tooling.
• Exceptional analytical, troubleshooting, debugging, and problem‑solving capabilities under complex AI engineering conditions.
• Excellent written and verbal English communication skills with strong technical leadership and collaboration abilities.
• Mandatory legal work eligibility and physical availability for full‑time on‑site operations in the UAE.

Responsibilities

• Architect, design, develop, and scale production‑grade generative AI applications and Large Language Model (LLM) systems.
• Deploy and manage open‑source LLMs on advanced GPU infrastructure with deep understanding of hardware and serving frameworks.
• Implement model parallelism strategies, tensor parallelism, and pipeline optimization for high‑throughput inference.
• Own, measure, and continuously improve Retrieval‑Augmented Generation (RAG) quality using rigorous retrieval metrics and evaluation frameworks.
• Transition complex artificial intelligence projects and proof‑of‑concept demos into scalable, robust real‑world production systems.
• Troubleshoot and resolve model latency, GPU memory utilization, token generation bottlenecks, and integration failures.
• Collaborate seamlessly with cross‑functional AI research squads, data engineers, software architects, and business stakeholders.
• Maintain meticulous documentation of model architectures, evaluation benchmarks, API integrations, and deployment runbooks.

Skills

AI/ML experience

Production LLMs

Python

PyTorch

TensorFlow

ML ops

English

Problem solving

Education

Bachelor's degree

Master’s or PhD (nice-to-have)

Tools

Pinecone

Milvus

Qdrant

FAISS

LangChain

LlamaIndex

Job description

Raqmiyat LLC in the United Arab Emirates is seeking an experienced AI Engineer with 6+ years in AI/ML and 3+ years operating production LLM systems to design, deploy, and scale enterprise‑grade generative AI applications and advanced RAG pipelines.

You will own end‑to‑end AI system architecture, GPU deployment, and performance optimization while collaborating with data scientists, ML engineers, and product teams to deliver robust production solutions on‑site in the UAE.