GenAI & LLMs Engineer (On-Prem & Arabic AI)

Dalil Information Technology | UAE; Abu Dhabi; Sur place; AED 180 000 - 300 000; Plein temps

Résumé du poste

Dalil Information Technology | UAE is seeking an experienced AI/ML Engineer to design, deploy, and scale AI-powered solutions. You will focus on Generative AI, LLMs, and enterprise AI applications, with emphasis on on-premises environments and Arabic language AI capabilities.

The role requires building secure, production-grade systems with MLOps practices, Python-based backend development, and end-to-end model deployment, monitoring, and evaluation.

Qualifications

• 4+ years in developing and deploying production AI/ML and Generative AI systems.
• Experience with on-premises AI deployment and secure networks.
• Experience with Arabic language AI, OCR, and document processing.
• Strong Python, REST API development and data quality validation.
• Familiarity with MLOps, Docker, and CI/CD pipelines.

Responsabilités

• On-premises AI implementation with DeepSeek and Qwen on local GPU infrastructure.
• Develop AI capabilities using LLMs, RAG pipelines, NLP and evaluation.
• Arabic document processing including OCR and information extraction.
• Build backend pipelines and data quality validation.
• Set up monitoring with Grafana, CloudWatch and Power BI.

Connaissances

Python

NLP

LLMs

Prompt engineering

MLOps

Formation

Bachelor's degree in Computer Science or related discipline

Outils

Docker

Terraform

CI/CD

Grafana

Power BI

LangChain

LangSmith

LangGraph

PyTorch

Transformers

BERT

XGBoost

Description du poste

Dalil Information Technology | UAE is seeking an experienced AI/ML Engineer to design, deploy, and scale AI-powered solutions. You will focus on Generative AI, LLMs, and enterprise AI applications, with emphasis on on-premises environments and Arabic language AI capabilities.

The role requires building secure, production-grade systems with MLOps practices, Python-based backend development, and end-to-end model deployment, monitoring, and evaluation.