Your AI career in the UAE starts here

About the Role Explore data, engineer features, and build machine learning models for real business challenges. Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation. Collaborate closely with ML engineers and backend developers to bring successful models into production. Present insights and findings to both technical and non-technical stakeholders. Contribute to a collaborative, data-driven environment focused on continuous learning and innovation.Requirements 0–2 years of experience in Data Science (internships, research projects, and academic work are welcomed). Strong Python skills with experience using pandas, NumPy, and scikit-learn. Solid understanding of machine learning, statistics, and experimental design. Good SQL skills. Strong analytical thinking and communication skills. Nice to have: Exposure to Spark, Databricks, recommendation systems, fraud detection, or SaaS/high-scale product environments.Benefits Competitive salary with annual performance bonus. Comprehensive medical insurance. Annual flight allowance. Visa sponsorship. Annual leave entitlement. Learning and conference budget to support your professional growth. Hybrid working model with flexibility. Opportunity to work alongside experienced engineers and data scientists on cutting-edge AI/ML products with a distributed team across Dubai and Europe.

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.

We're excited to be partnering with a leading institution in the UAE that is building a digital-first, AI-enabled financial services organization from the ground up. This is a unique opportunity to join at an early stage and help shape the technology, data, and AI foundations of a business with significant institutional backing and long-term ambition. If you're passionate about AI engineering, agentic systems, and building enterprise-scale AI platforms, we'd love to hear from you. As AI Engineering Lead, you will be responsible for building and operating the bank's enterprise AI platform, enabling AI agents, LLMs, and machine learning capabilities to operate safely, securely, and at scale. Working closely with Data Engineering, Enterprise Architecture, Information Security, Compliance, and Product teams, you will help establish one of the region's most ambitious AI-native banking platforms from day one. Responsibilities• Lead the design, build, and operation of the bank's AI platform, including model serving, registries, AI gateways, and MLOps/LLMOps capabilities. • Build and manage the platform supporting AI agents, orchestration services, tool integration, agent governance, and human-in-the-loop controls. • Establish evaluation frameworks, guardrails, monitoring, and testing processes for models and AI agents. • Deliver production-grade GenAI and RAG capabilities, including retrieval pipelines, vector databases, and LLM integrations. • Partner with Data Engineering and Governance teams to ensure trusted, compliant, and governed AI solutions. • Build, mentor, and lead a high-performing AI Engineering team while driving adoption of AI-native development practices. Requirements• 8+ years of experience in AI Engineering, Machine Learning Engineering, or MLOps, including leadership responsibility. • Production experience deploying machine learning models, LLMs, and agentic systems at scale. • Strong experience with MLOps/LLMOps platforms, model serving, model governance, and AI lifecycle management. • Experience building GenAI, RAG, vector database, and AI orchestration solutions. • Experience operating within banking, financial services, fintech, or another highly regulated environment. • Strong understanding of AI governance, explainability, monitoring, model risk, and responsible AI practices.Ready to join us? Apply today and take the next step in your career.

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAEAbout youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

Role: Member of Technical Staff, Enterprise AILocation: Remote (Work from Anywhere)Job Type: Full-TimePayout: $250K - $500K/yrRole Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Enterprise AI to work on a full-time basis. The role involves designing, building, and deploying scalable AI systems for enterprise environments. Candidates will collaborate with cross-functional teams to integrate AI solutions into existing technical infrastructure.Key Responsibilities:• Develop and optimize AI models for enterprise applications, focusing on performance, scalability, and reliability.• Design and implement machine learning pipelines to support data ingestion, processing, and model training.• Collaborate with software engineers to integrate AI components into production systems and APIs.• Evaluate and select appropriate AI frameworks and tools to meet business and technical requirements.• Maintain documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures.Required Skills & Qualifications:• Bachelor's or advanced degree in Computer Science, Engineering, or a related quantitative field.• 5+ years of experience in software development with a focus on AI or machine learning applications.• Proficiency in Python, with experience in frameworks such as TensorFlow, PyTorch, or JAX.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model deployment and monitoring.• Strong problem-solving skills and ability to design end-to-end AI solutions for complex enterprise challenges.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 | Information Services industry, contributing to the development of cutting-edge AI technologies that drive business transformation. The position provides exposure to high-impact projects and the chance to shape the future of enterprise AI solutions.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!

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!