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Senior AI Agentic & Automation Engineer

Sundus · Abu Dhabi Emirate, United Arab Emirates

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We’re looking for a hands-on Senior AI Agentic & Automation Engineer to lead the architecture and execution of an autonomous employee agents platform and executive systems based in Abu Dhabi.Qualifications:Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical field.Minimum 5 years of professional experience in AI engineering, software/backend engineering, automation engineering, full-stack engineering, or a related technical role.Proven experience building and deploying production-grade AI agents, agentic systems, backend services, APIs, workflow automations, and enterprise integrations.Strong hands-on experience with Python, Node.js, LangChain, LangGraph, LlamaIndex, n8n, RAG, AI evaluation/verification, APIs, databases, and secure system architecture.Experience with Hugging Face, GPU-based workloads, model training/fine-tuning, model evaluation, MLOps, or model serving is highly desirable.Enterprise Automation: Experience automating finance, procurement, HR, visa processing, ERP/accounting, or executive reporting is a strong advantageExcellent verbal and written communication skills in both Arabic and English.Key Responsibilities:Design, develop, and optimize autonomous multi-agent systems and reasoning workflows using frameworks such as LangChain, LangGraph, and LlamaIndex.Build and scale workflow automations using platforms such as n8n and Microsoft Power Automate.Architect, develop, and maintain robust backend services, APIs, microservices, background jobs, and integration layers supporting agent orchestration and enterprise workflows.Integrate internal databases, enterprise systems, Tally accounting software, communication platforms, and third-party APIs.Develop Retrieval-Augmented Generation (RAG) pipelines, verification layers, and evaluation mechanisms to improve accuracy and reduce AI hallucinations.Manage AI/ML model training, fine-tuning, evaluation, and deployment using Hugging Face and GPU-enabled environments.Write production-ready backend and integration code using Python and Node.js.Design and implement secure, 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 deploy new features using tools such as Claude Code, OpenAI Codex, Lovable, Replit, or similar AI-powered development platforms.Collaborate closely with business and executive stakeholders to translate operational requirements into autonomous, measurable, and reliable workflows.