Senior AI Engineer | Azure, LLMs & AI Solutions | Qatar

Applab; Qatar; On-site; QAR 200,000 - 350,000; Full time

Job summary

Applab in Qatar seeks a hands-on Senior AI Engineer to design, build, and scale AI solutions on Microsoft Azure, focusing on LLMs, conversational agents, and end-to-end pipelines.

You will work across text, documents, images, and audio, delivering enterprise-grade AI systems and collaborating with stakeholders to translate requirements into practical architectures and deployments.

Qualifications

• Hands-on experience building scalable AI solutions.
• Strong knowledge of Microsoft Azure AI services.
• Experience with large language models (LLMs) and conversational AI.
• Ability to design end-to-end AI pipelines.
• Experience with multimodal data (text, images, audio).

Responsibilities

• Design, develop, and scale AI solutions on Microsoft Azure.
• Build and deploy solutions using large language models (LLMs).
• Develop intelligent conversational agents and AI-powered applications.
• Design and implement end-to-end AI pipelines.
• Develop AI solutions capable of processing text, documents, images, and audio.
• Build reliable, scalable, and production-ready AI systems.
• Integrate AI technologies into enterprise applications and workflows.
• Evaluate AI solutions for performance, reliability, scalability, and effectiveness.
• Troubleshoot complex technical challenges across AI systems and pipelines.
• Collaborate with technical and business stakeholders to understand requirements and deliver effective AI solutions.
• Contribute to the continuous improvement and optimization of AI architectures and implementations.
• Stay current with emerging AI technologies and industry best practices.

Skills

AI Engineering

Azure Cloud

LLMs

Conversational AI

Multimodal Data

Job description

Location

Qatar

Job Category

• Information Technology (IT) & Software
• Engineering & Technical
• Science & Research

Job Overview

Applab is seeking a hands-on Senior AI Engineer to design, build, and scale advanced artificial intelligence solutions on Microsoft Azure. The role focuses on developing intelligent, reliable, and scalable AI systems using large language models (LLMs), conversational agents, and end-to-end AI pipelines.

The successful candidate will work across multiple data modalities, including text, documents, images, and audio, while contributing to the development and deployment of enterprise-grade AI solutions. The position requires strong technical problem-solving skills and the ability to translate complex AI requirements into practical, scalable solutions.

This opportunity provides strong potential for career growth and professional development in artificial intelligence, generative AI, cloud computing, LLM engineering, conversational AI, and multimodal AI systems. Continued training and relevant Azure, AI, machine learning, and cloud certifications can further support progression into AI Architect, Lead AI Engineer, or AI Engineering Manager roles.

Key Responsibilities

• Design, develop, and scale AI solutions on Microsoft Azure.
• Build and deploy solutions using large language models (LLMs).
• Develop intelligent conversational agents and AI-powered applications.
• Design and implement end-to-end AI pipelines.
• Develop AI solutions capable of processing text, documents, images, and audio.
• Build reliable, scalable, and production-ready AI systems.
• Integrate AI technologies into enterprise applications and workflows.
• Evaluate AI solutions for performance, reliability, scalability, and effectiveness.
• Troubleshoot complex technical challenges across AI systems and pipelines.
• Collaborate with technical and business stakeholders to understand requirements and deliver effective AI solutions.
• Contribute to the continuous improvement and optimization of AI architectures and implementations.
• Stay current with emerging AI technologies and industry best practices.

Requirements & Qualifications

• Strong hands-on experience in Artificial Intelligence / AI Engineering.
• Experience designing and building scalable AI solutions.
• Strong knowledge of Microsoft Azure and cloud-based AI environments.
• Experience working with Large Language Models (LLMs).
• Experience developing conversational AI agents.
• Knowledge of end-to-end AI pipelines and AI solution deployment.
• Experience working with multiple data modalities, including:
  • Text
  • Documents
  • Images
  • Audio
• Strong software engineering and problem-solving capabilities.
• Ability to design reliable and scalable production AI systems.
• Strong understanding of modern AI technologies and development practices.
• Ability to work effectively on complex technical problems.
• Strong communication and collaboration skills.

Salary, Benefits & Career Growth

Salary and compensation details have not been provided for this position.

The role offers valuable professional exposure to Azure AI, large language models, conversational agents, multimodal AI, AI pipelines, and enterprise AI solutions. This provides a strong foundation for continued professional development in rapidly evolving AI technologies.

Relevant training and certifications in Microsoft Azure, AI engineering, machine learning, generative AI, cloud architecture, and related technologies can support long-term career growth toward senior technical and architectural positions.