LLM Systems Engineer | Build Scalable AI & Data Pipelines

Aqary Investement And Development; Abu Dhabi; On-site; AED 240,000 - 480,000; Full time

Job summary

Aqary Investement And Development is hiring an AI & Data Engineer to design scalable AI systems and data-driven products for production environments. The role involves building data pipelines, integrating Large Language Models, deploying ML models, and collaborating with engineering, product, and DevOps teams.

Experience with cloud platforms and container technologies is advantageous. You will ensure data quality, monitor model performance, and optimize systems for reliability and scalability,

Qualifications

• Proficient in Python and AI/ML concepts.
• Experience with Large Language Models (LLMs) like GPT/LLaMA.
• Built data pipelines for large datasets.
• Strong SQL/NoSQL knowledge.
• Familiarity with MLOps and model deployment.
• Experience with TensorFlow or PyTorch.
• Strong problem-solving and analytical skills.

Responsibilities

• Design and develop AI solutions using ML models and LLMs.
• Build and maintain data pipelines for processing, transformation and analysis.
• Collect, clean and prepare large datasets for training and evaluation.
• Develop and optimize ML and DL models.
• Integrate LLMs into applications and systems (APIs, chatbots, AI services).
• Work with SQL and NoSQL databases.
• Improve model performance, scalability and reliability.
• Implement and maintain MLOps and deployment workflows.
• Monitor data quality and model performance in production.
• Collaborate with engineering, product and DevOps teams.

Skills

Python

ML & DL concepts

LLMs (GPT/LLaMA)

Data pipelines

SQL/NoSQL

MLOps

TensorFlow / PyTorch

Analytical skills

Tools

Docker

Kubernetes

PostgreSQL

RESTful API design

Git

Job description

Aqary Investement And Development is hiring an AI & Data Engineer to design scalable AI systems and data-driven products for production environments. The role involves building data pipelines, integrating Large Language Models, deploying ML models, and collaborating with engineering, product, and DevOps teams.

Experience with cloud platforms and container technologies is advantageous. You will ensure data quality, monitor model performance, and optimize systems for reliability and scalability,