AI LLM Engineer

DiceTek UAE; Dubai; On-site; AED 279,000 - 446,400; Full time

Benefits offered by this job

Exposure to advanced AI technologies

Opportunity for career growth in AI engineering

Work in a dynamic tech industry

Job summary

DiceTek UAE is looking for an AI LLM Engineer to advance artificial intelligence development, focusing on Large Language Models (LLMs) and AI model deployment in Dubai. The successful candidate will have 5+ years of relevant experience and be able to optimize LLM solutions.

You will implement and manage AI solutions in diverse environments, collaborating with various teams for practical AI integrations. Attractive salary and benefits available.

Qualifications

• 5+ years of relevant experience in AI, LLM engineering, or Machine Learning.
• Strong hands‑on experience developing, deploying, fine‑tuning, and operating Large Language Models.
• Deep understanding of AI algorithms, data structures, and NLP.

Responsibilities

• Implement, manage, and optimize Large Language Models for business applications.
• Deploy LLMs on cloud services focusing on scalability and performance.
• Fine‑tune, train, and evaluate AI models to deliver accurate outputs.

Skills

Large Language Models

AI model development and deployment

LLM fine‑tuning and training

OpenAI technologies

LangChain

Python development

TensorFlow and PyTorch

NodeJS and .Net

Natural Language Processing

Image processing and handwriting recognition

AWS Cloud AI deployment

Local server AI deployment

AI API integration

Dataset preprocessing and augmentation

Model evaluation metrics

AI infrastructure monitoring

Root cause analysis

AI network infrastructure

Cloud and on‑premise integration

Enterprise AI solution design

Education

Bachelor's degree in IT, Computer Science, AI, or related field

Master's degree with 3 years relevant experience

Tools

AWS

LangChain

OpenAI API

Python

TensorFlow

PyTorch

.Net

NodeJS

Job description

Job Snapshot: Role: AI LLM Engineer | Location: Dubai, United Arab Emirates | Industry: IT and Services | Function: IT-Software Development | Experience: 5 years | Job Type: Full-time

Job Overview: The AI LLM Engineer in Dubai focuses on advanced artificial intelligence development, including Large Language Models (LLMs), AI model deployment, cloud-based LLM platforms, local server integration, Python development, and scalable AI infrastructure. The role requires an experienced AI professional who can implement, fine‑tune, optimize, and operate LLM solutions across cloud, on‑premise, and enterprise application environments.

Job Details: Country: United Arab Emirates | City: Dubai | Salary: 25,000‑40,000 AED (estimated range; confirm final offer with employer)

Key Responsibilities

• Implement, manage, and optimize Large Language Models for business applications and specialized AI use cases.
• Deploy LLMs on cloud services with a focus on scalability, security, performance, and operational reliability.
• Configure and manage LLM deployments on local servers, ensuring smooth integration with on‑premise infrastructure and enterprise data.
• Fine‑tune, train, and evaluate AI models to deliver accurate, high‑quality, context‑aware outputs.
• Support AI solutions for specialized tasks such as image processing, handwriting recognition, NLP, automation, and intelligent document handling.
• Troubleshoot AI model training, deployment, integration, and runtime issues through structured root cause analysis.
• Integrate AI models and local APIs with internal applications, external platforms, and enterprise systems.
• Design AI solutions using OpenAI technologies where suitable while also applying open‑source AI frameworks such as LangChain.
• Develop platforms and tools for monitoring, analyzing, and diagnosing large‑scale AI and LLM networks.
• Research and evaluate high‑performance AI communication frameworks, network protocols, and infrastructure patterns.
• Contribute to the development of next‑generation AI network infrastructure for large‑scale heterogeneous hardware environments.
• Prepare, clean, augment, and manage large datasets used for AI model training and validation.
• Work with development, infrastructure, cloud, data, and business teams to deliver practical AI solutions aligned with enterprise needs.

Ideal Profile

• Bachelor's degree in IT, Computer Science, AI, Machine Learning, or a related field with at least 5 years of relevant experience.
• Master's degree with 3 years of relevant AI, ML, or LLM engineering experience will also be considered.
• Strong hands‑on experience developing, deploying, fine‑tuning, and operating Large Language Models.
• Deep understanding of AI algorithms, data structures, deep learning, NLP, model training, and model evaluation.
• Practical experience with open‑source AI frameworks such as LangChain and AI platforms using OpenAI technologies.
• Expert‑level Python programming skills with additional experience in .Net, TensorFlow, PyTorch, and NodeJS.
• Hands‑on experience deploying AI and LLM workloads on AWS Cloud, preferably in the UAE Region.
• Experience configuring AI models and related services on local servers and on‑premise infrastructure.
• Strong knowledge of dataset preparation, pre‑processing, cleaning, augmentation, validation, and model performance metrics.
• Ability to integrate AI models through APIs with internal systems, external applications, and enterprise workflows.
• Strong troubleshooting ability for AI model performance, deployment failures, infrastructure bottlenecks, and production issues.
• Good collaboration and communication skills for working with technical teams, business users, and stakeholders.
• Proactive approach to research, experimentation, performance improvement, and scalable AI solution design.

Skills Set

• Large Language Models
• AI model development and deployment
• LLM fine‑tuning and training
• OpenAI technologies
• LangChain
• Python development
• TensorFlow and PyTorch
• NodeJS and .Net
• Natural Language Processing
• Image processing and handwriting recognition
• AWS Cloud AI deployment
• Local server AI deployment
• AI API integration
• Dataset preprocessing and augmentation
• Model evaluation metrics
• AI infrastructure monitoring
• Root cause analysis
• AI network infrastructure
• Cloud and on‑premise integration
• Enterprise AI solution design

Why Join Us

• Work on advanced AI and LLM engineering initiatives in Dubai's growing technology market.
• Gain exposure to OpenAI technologies, LangChain, AWS Cloud, local server deployments, and enterprise AI integration.
• Build high‑value experience in LLM fine‑tuning, AI infrastructure, model optimization, and large‑scale AI operations.
• Collaborate with technical teams on AI solutions that support automation, intelligent processing, and business transformation.
• Strong opportunity for AI engineers looking to grow into senior LLM engineering, AI platform architecture, or enterprise AI leadership roles.