AI Engineer

Al-Bahar Background

Mohamed Abdulrahman Al-Bahar founded in 1937, is a leading business house in the Arabian Gulf with a vision to become the number one provider of customer value in construction equipment, energy and transportation, and materials handling industry.

Al-Bahar are dealers of Cat® machinery, heavy equipment and power systems for a wide variety of applications, including earthmoving, building and construction, mining, road making construction, demolition, waste and scrap handling, electric power generation, marine propulsion etc.

More than 2,000 committed employees, Al-Bahar offers a highly engaging and supportive work environment in a culture that values, recognizes and rewards quality performance.

Our Human Resources Critical Success Factors are:

Continue to build and strengthen intellectual capital by hiring and retaining quality people, rewarding performance, and providing them with growth opportunities.

Summary

The ideal candidate must have strong expertise in AI engineering, LLMs, AI agents building & coding, scalable enterprise AI architecture, orchestration frameworks and integrations.

Key Responsibilities

• Design, develop, test, deploy, and maintain AI-powered enterprise solution
• Build intelligent AI agents and multi-agent systems using modern AI framework
• Develop enterprise copilots, assistants, machine learning models and workflow automation agent
• Build and maintain scalable LLM-based application
• Create Retrieval-Augmented Generation (RAG) solutions using enterprise data
• Implement prompt engineering and AI orchestration workflows
• Fine-tune and optimize AI solutions for performance, reliability, and scalability
• Build orchestration layers between multiple AI agents and enterprise systems
• Integrate AI agents with APIs, databases, cloud services, and business applications
• Design agent-to-agent communication and workflow automation
• Manage memory, context handling, semantic search, and knowledge retrieval capabilities
• Ensure AI systems comply with enterprise security and governance standards
• Implement AI monitoring, logging, observability, and performance optimization

Skills, Qualifications & Experiences

• 5+ years of experience in AI engineering, backend development and machine learning
• Strong programming skills in Python and experience with API development
• Strong understanding of Large Language Models (LLM)
• Having experience in Microsoft AI solutions (Azure Foundry, Co-Pilot, Fabric etc
• Having experience in Microsoft Power Platforms(Power Automate, Power APPs, Power BI, etc
• Hands-on experience to be able code, build, deploy, and maintain AI systems independently
• Experience integrating AI solutions with enterprise platforms
• Experience designing scalable enterprise AI architecture
• Strong understanding of modern AI ecosystems and emerging technologies
• Can transform business requirements into production-grade scalable AI solutions
• Can orchestrate multiple AI agents and enterprise workflows
• Familiarity with LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworks
• Microsoft Azure AI certifications are required