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We Are Hiring | AI Specialist (AI, Automation & Digital Transformation)Work Location: Dubai Investment Park (DIP) 2, Dubai, UAEWe are looking for a Full Stack Developer with strong AI, automation, functional, and technical knowledge to build and support our in-house software and digital transformation initiatives.The role will focus on understanding business processes, identifying manual work, developing software solutions, integrating departmental workflows, implementing AI, and continuously improving business operations.Key ResponsibilitiesDevelop and maintain in-house business applications.Understand departmental workflows and convert manual and Excel-based processes into software automation.Work with Joinery, MEP, Manufacturing, Projects, Procurement, Finance, HR, and other departments to identify automation opportunities.Develop AI-powered solutions for production planning, scheduling, reporting, estimation, material planning, quality analysis, and workflow optimization.Build dashboards, reports, and management information systems to support decision-making.Develop an in-house AI chatbot to help employees access information, interact with internal systems, and support business processes.Develop an internal task and work management system similar to Jira to assign, track, prioritize, monitor, and report departmental tasks and projects.Develop AI-assisted workflows for SOPs, documentation, reports, and operational records.Design and develop solutions with a clean, well-structured, and scalable architecture, always considering scalability, performance, efficiency, maintainability, and future business growth. Work directly with Department Heads, stakeholders, and the Assistant General Manager to understand business requirements.Implement AI, automation, APIs, and emerging technologies to improve business processes.Support employees in adopting AI tools and provide AI training and guidance where required.Continuously evaluate emerging technologies and implement solutions that provide measurable business value.Take ownership of development from requirement gathering, design, development, testing, deployment, and support.Server-related activities will be handled by the Headquarters IT & Intelligence Team. Ensure fast and efficient development and implementation, without compromising clean architecture, scalability, maintainability, or overall solution quality.Mandatory Technical Skills.NET / C#PythonSQLReact / Next.jsREST APIs & API IntegrationAI / LLM / AI API IntegrationRequirementsMinimum 2+ years of Full Stack Software Development experience.Strong Functional and Technical knowledge.Ability to understand business processes and independently develop practical software solutions.Strong interest in AI, automation, and emerging technologies.Ability to work with changing requirements and develop flexible solutions.Strong analytical and problem-solving skills.Ability to work independently while collaborating with the Headquarters IT & Intelligence Team.Willingness to learn, experiment, and introduce new technology ideas to the organization.This is an opportunity for someone who wants to go beyond traditional software development and contribute to building an integrated in-house technology ecosystem connecting business processes, people, tasks, data, and AI across the organization.

Senior AI Agentic & Automation EngineerLocation: Abu Dhabi, United Arab Emirates (On-site)Job Type: Full-TimeRole OverviewAn experienced, hands-on Senior AI Agentic & Automation Engineer is required to lead the technical architecture and execution of an autonomous employee agents platform and executive systems. The role focuses on building and orchestrating complex autonomous multi-agent workflows and enterprise automations, including invoicing, procurement, visa processing, and real-time executive reporting.The position is responsible for designing the orchestration layer for intelligent agents, ensuring secure system integrations, and implementing verification controls that improve reliability, reduce hallucinations, and support factual accuracy in production workflows.Minimum ExperienceCandidates must have not less than 5 years of professional experience in software engineering, backend engineering, AI applications, automation engineering, or related technical roles, with proven hands-on delivery of production-grade systems.Key ResponsibilitiesDesign, develop, and optimize autonomous multi-agent systems and reasoning loops using frameworks such as LangChain, LangGraph, and LlamaIndex.Build scalable workflow automations using tools such as n8n and Microsoft Power Automate.Architect, develop, and maintain robust backend services, APIs, microservices, background jobs, and integration layers to support agent orchestration and enterprise workflows.Integrate internal databases, enterprise systems, Tally accounting software, communication channels, and third-party APIs.Develop retrieval-augmented generation (RAG) pipelines, verification layers, and evaluation mechanisms to improve response accuracy and reduce hallucinations.Handle AI/ML model training, tuning, evaluation, and deployment using Hugging Face and GPU-enabled environments.Write production-ready backend and integration code using Python and Node.js.Design secure and scalable data architectures using platforms such as Supabase and MongoDB.Implement logging, monitoring, auditability, validation rules, and approval workflows for high-risk automated actions.Rapidly prototype, test, and ship features using tools such as Claude Code, OpenAI Codex, Lovable, Replit, or similar platforms.Collaborate with business and executive stakeholders to translate operational requirements into autonomous, measurable workflows.Required QualificationsMinimum 5 years of professional experience in AI engineering, Full stack engineering, automation engineering, software engineering, or related fields.Proven experience building and deploying production-grade AI applications, backend systems, agentic systems, or workflow automations.Strong hands-on experience in designing AI workflow orchestration, reducing model hallucinations, and building scalable Agentic AI architectures. Strong programming skills in Python and Node.js.Solid hands-on backend development experience in building REST APIs, web services, system integrations, authentication flows, and scalable server-side applications.Practical experience with LangChain, LangGraph, LlamaIndex, or comparable agentic frameworks.Strong experience with automation tools such as n8n.Experience with database platforms such as Supabase, and relational systems.Hands-on experience with APIs, integrations, authentication, and secure system design.Practical knowledge of model evaluation, accuracy measurement, prompt control, and output verification.Familiarity with Hugging Face, GPU resources, and model training or fine-tuning workflows.Strong problem-solving, architecture, and documentation skills.Preferred QualificationsExperience in procurement, HR, visa, finance, or executive reporting automation.Experience integrating with ERP or accounting systems.Familiarity with multi-tenant enterprise system design.Experience with rapid development platforms and AI coding assistants.Ability to work effectively in a fast-paced, on-site business environment in Abu Dhabi.Strong plus: experience with GPU-based AI workloads, NVIDIA DGX environments, DevOps awareness , model serving, MLOps, vector databases, and high-performance AI infrastructure.

Director of Artificial IntelligenceDubai - Open to local or international talentWe're partnering with a leading enterprise organisation investing heavily in Generative AI and building a new AI function to drive transformation across the business.This isn't an AI strategy or innovation role.We're looking for someone who has identified AI use cases, built the business case, and taken enterprise GenAI solutions from POC through to production, delivering measurable business value.What You'll Be DoingPartner with senior business leaders to identify high-impact AI opportunitiesOwn the AI lifecycle from Business Problem → POC → Production → ROIWork alongside AI Engineering teams to deliver enterprise AI solutionsDrive stakeholder engagement, adoption, and measurable business outcomesWhat We're Looking For✔ Enterprise GenAI delivery experience✔ Production LLM applications✔ RAG & Agentic AI✔ AI architecture and orchestration✔ Strong executive stakeholder management✔ Proven examples of AI solutions delivering real business impactExperience required:Proven experience delivering enterprise Generative AI solutions from concept through to production deployment.Strong understanding of LLMs, RAG, Agentic AI, AI orchestration frameworks, and modern AI architectures.Demonstrable experience partnering with senior business stakeholders to identify AI use cases and deliver measurable business value.Ability to articulate AI architecture, model selection, evaluation, governance, and production deployment of enterprise AI solutions.Experience within large enterprise environments, ideally across Logistics, Aviation, Retail, Real Estate, or Energy.This Role Is For You If...You can confidently explain why GenAI was the right solution, the architecture behind it, how it was deployed into production, and the commercial value it delivered.

Damac Group is hiring Directors – Artificial Intelligence to lead enterprise AI deployment across a multi-vertical business spanning real estate, capital projects, and corporate platforms. This is not an innovation role. This is end-to-end AI delivery at scale.About the Role:You will own the full lifecycle of AI deployment — from identifying high-value use cases through to building, deploying, and scaling production-grade systems across the business.You will lead AI initiatives that drive real operational impact — embedding Traditional AI, Generative AI, and Agentic AI systems into live workflows across the enterprise.Key Impact Areas:Own end-to-end AI delivery — concept → build → production → scaleLead deployment of AI across Sales, Marketing, Capital Projects, and Corporate PlatformsArchitect and implement AI/ML, GenAI, and Agentic AI systems integrated into enterprise workflowsBuild and lead cross-functional AI engineering teams (Product, Data, Engineering)Establish MLOps, deployment standards, and governance frameworksDrive adoption, performance, and measurable business ROI from AI systemsWhat We’re Looking For:10–15+ years in engineering, AI, or large-scale technology deliveryProven track record deploying AI/ML systems into production at enterprise scaleStrong experience with cloud platforms (AWS, Azure, or GCP), APIs, and data pipelinesHands-on understanding of LLMs, orchestration frameworks, and MLOpsExperience leading technical teams and senior stakeholdersAbility to operate 50/50 technical and business-facingPreferred Experience:Exposure to capital projects environments (project controls, procurement, operations) is preferred but not essential.Experience embedding AI into complex, multi-system enterprise environments

Key Responsibilities Design and develop generative AI solutions using Azure AI Foundry and Azure OpenAI. Build AI agents, copilots, conversational applications and retrieval-augmented generation solutions. Develop and integrate backend services, APIs and automation components using CoPilot stack. Integrate AI solutions with enterprise applications, databases, document repositories and business systems.Configure and use Azure AI Search, vector search, embeddings and document-processing services. Implement prompt engineering, model selection, model evaluation and response-quality testing. Develop orchestration workflows using Microsoft Agent Framework, Semantic Kernel or equivalent frameworks. Deploy AI workloads using Azure Functions, App Service, Container Apps, AKS or other suitable Azure services. Implement secure access using Microsoft Entra ID, managed identities, RBAC and Azure Key Vault. Establish CI/CD pipelines using Azure DevOps or GitHub Actions. Implement monitoring, logging, tracing, content safety and responsible AI controls. Support performance optimization, cost management, troubleshooting and production readiness. Produce technical documentation, deployment guides and knowledge-transfer materials. Required Skills and Experience Practical experience designing and developing solutions on Microsoft Azure. Hands-on experience with Azure AI Foundry, Azure OpenAI or equivalent generative AI platforms. Strong Microsoft stack using PowerPlatform development experience for AI applications, integrations and automation. Experience building REST APIs and integrating cloud services and enterprise applications. Understanding of large language models, prompt engineering, embeddings, vector databases and retrieval-augmented generation. Experience with Azure AI Search, Azure Storage and relevant Azure application services. Familiarity with containerization, Git-based development and CI/CD practices. Understanding of Azure security, networking, identity and access-management principles. Strong troubleshooting, documentation and stakeholder-communication skills. Desirable Skills Experience with Microsoft Agent Framework, Semantic Kernel, LangChain or LangGraph. Experience with Java, C#, .NET, IBM WebMethods for integration with enterprise applications. Experience with Azure AI Components namely Azure Machine Learning, Document Intelligence, Cosmos DB or Microsoft Fabric. Knowledge of model evaluation, observability, responsible AI and AI governance. Experience deploying workloads on Azure Kubernetes Service or Azure Container Apps. Familiarity with DevOps, MLOps and LLMOps practices.

Role: AI Research Scientist (Remote)Location: Remote (Work from Anywhere)Job Type: Full-TimePayout: $600K - $2000K/yrRole Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Frontier AI to work on a full-time basis. The role involves advancing cutting-edge AI models and infrastructure to push the boundaries of machine learning capabilities. Responsibilities span algorithmic research, system design, and implementation of next-generation AI solutions. Candidates must demonstrate deep technical expertise in AI/ML systems and architectures.Key Responsibilities:• Lead research and development of frontier AI models, focusing on scalability and efficiency.• Design and optimize large-scale AI training and inference systems.• Collaborate with cross-functional teams to integrate AI models into production environments.• Evaluate and benchmark emerging AI techniques against state-of-the-art baselines.• Publish findings and contribute to the broader AI research community.Required Skills & Qualifications:• Strong background in machine learning, deep learning, or related fields.• Experience with large-scale distributed systems and cloud infrastructure.• Proficiency in Python and frameworks such as PyTorch or TensorFlow.• Familiarity with GPU/TPU acceleration and high-performance computing.• Ability to design and implement novel algorithms for AI model training and inference.More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | IT Services and IT Consulting industry, contributing to the development of next-generation AI systems. The position involves solving complex technical challenges at the forefront of AI innovation.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!