AI Engineer

Al-Bahar BackgroundMohamed 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.SummaryThe ideal candidate must have strong expertise in AI engineering, LLMs, AI agents building & coding, scalable enterprise AI architecture, orchestration frameworks and integrations.Key ResponsibilitiesDesign, develop, test, deploy, and maintain AI-powered enterprise solutionBuild intelligent AI agents and multi-agent systems using modern AI frameworkDevelop enterprise copilots, assistants, machine learning models and workflow automation agentBuild and maintain scalable LLM-based applicationCreate Retrieval-Augmented Generation (RAG) solutions using enterprise dataImplement prompt engineering and AI orchestration workflowsFine-tune and optimize AI solutions for performance, reliability, and scalabilityBuild orchestration layers between multiple AI agents and enterprise systemsIntegrate AI agents with APIs, databases, cloud services, and business applicationsDesign agent-to-agent communication and workflow automationManage memory, context handling, semantic search, and knowledge retrieval capabilitiesEnsure AI systems comply with enterprise security and governance standardsImplement AI monitoring, logging, observability, and performance optimizationSkills, Qualifications & Experiences5+ years of experience in AI engineering, backend development and machine learningStrong programming skills in Python and experience with API developmentStrong understanding of Large Language Models (LLM)Having experience in Microsoft AI solutions (Azure Foundry, Co-Pilot, Fabric etcHaving experience in Microsoft Power Platforms(Power Automate, Power APPs, Power BI, etcHands-on experience to be able code, build, deploy, and maintain AI systems independentlyExperience integrating AI solutions with enterprise platformsExperience designing scalable enterprise AI architectureStrong understanding of modern AI ecosystems and emerging technologiesCan transform business requirements into production-grade scalable AI solutionsCan orchestrate multiple AI agents and enterprise workflowsFamiliarity with LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworksMicrosoft Azure AI certifications are required