Your AI career in the UAE starts here

Salary Range - 20000 AED - 25000 AEDPriority will be given to Candidates - Experienced in Real Estate Pricing, Real Estate Research UAE.Type - Hybrid/RemoteCompany DescriptionProperty Dynamix is a real estate operating system for developers in Dubai and Abu Dhabi. We turn registered DLD and ADREC transactions into defensible decisions: unit pricing, pricing simulations, payment plans, land feasibility, new launch tracking, promotion monitoring and monthly market reports.Most platforms in this market sell data. We build what happens after it. A team of AI agents researches comparables, checks pricing against the market, and reviews its own work before a user sees it, with every figure traced back to registry records.Our AI analyst, MOIRA, answers market questions in plain language. Through Majlis, our connector, the same market data is available inside Claude and ChatGPT.Role DescriptionThis is a full-time, Hybrid/Remote AI Engineer role in Dubai.You won't be training neural networks from scratch. You'll build the agent systems that turn market data into answers people can act on, and the checks that keep those answers honest.What you'll work on:- Designing and building multi-agent workflows on Google's Agent Development Kit (Python), where each agent has one job and the results are orchestrated into a single answer- Tool calling with Gemini: defining tools, handling multi-round tool loops, structured outputs and response schemas- Writing and optimising BigQuery SQL over millions of registered transactions, and turning them into the tools agents call- Building guardrails that stop an AI from inventing numbers: grounding checks, claim verification, and gates that reject output a person should never see- Building evaluation harnesses and golden test sets, so we measure whether a change made MOIRA better or worse instead of guessing- Managing model cost and latency: choosing the right model per task, routing calls, and metering spend- Shipping to production on Google Cloud: Cloud Run jobs, Firebase Cloud Functions, scheduled pipelines- Extending Majlis, our MCP connector for Claude and ChatGPTQualificationsMust have:- Strong Python, and working TypeScript - Hands-on experience building LLM applications in production: tool calling, agents, structured output, prompt design- Solid SQL, ideally BigQuery, on large datasets- Experience with evaluation: you've built tests or scorecards for LLM output and used them to make decisions- Comfortable deploying and debugging on a cloud platform, ideally Google Cloud- You check your own work. You measure before you fix, and you can explain why something broke, not just that it now worksNice to have:- Google ADK, LangGraph or a similar agent framework- Model Context Protocol (MCP) servers- Firebase (Firestore, Auth, Cloud Functions)- Experience with real estate, pricing or financial data- Knowledge of the Dubai or Abu Dhabi property marketDegree in Computer Science, AI, Data Science or a related field, or equivalent experience shipping real systems.

General Summary:The Sr. Digital Delivery Specialist at EMSTEEL designs, builds and delivers advanced AI and machine-learning solutions that create measurable business value across the Group’s steel and building-materials operations. The role sits within the Digital Centre of Excellence and focuses on Generative AI, Agentic AI, Computer Vision, AI Digital Twins and productionizing models through modern MLOps practices applied to industrial use cases such as process optimization and predictive maintenance. Working end-to-end from use-case discovery and experimentation to deployment, monitoring and adoption. Essential Duties and Responsibilities:Partner with business stakeholders and SMEs to identify, qualify and prioritize high-impact AI/ML use cases aligned to EMSTEEL’s strategic objectives.Design, develop and deploy Generative AI solutions (LLM-based assistants, RAG pipelines, document intelligence, summarization and content generation) tailored to enterprise needs.Build Agentic AI systems — autonomous and multi-agent workflows that reason, plan, use tools and orchestrate tasks, including Agent-to-Agent (A2A) collaboration and protocols across enterprise applications.Deliver industrial AI use cases across the value chain — process optimization, predictive maintenance, quality prediction, energy and yield optimization, and anomaly detection for steel and building-materials operations.Develop and operationalize AI Digital Twin solutions that simulate, monitor and optimize plant assets and production processes in real time.Build Computer Vision solutions for defect detection, surface-quality inspection, safety monitoring and process automation on the shop floor.Develop, validate and optimize classical and deep-learning models for prediction, optimization, anomaly detection and process control.Implement robust MLOps practices: CI/CD for models, automated pipelines, feature stores, model registry, versioning, monitoring, drift detection and retraining.Engineer scalable data and AI pipelines on Databricks and integrate solutions across the Microsoft (Azure) stack and Dataiku.Own end-to-end AI project delivery — from proof-of-concept to production — ensuring quality, security, performance and on-time delivery.Drive AI adoption by embedding solutions in downstream applications, updating SOPs, enabling users and delivering relevant training and change management.Establish responsible-AI, governance, evaluation and guardrail practices for GenAI and agentic solutions (accuracy, safety, bias, data privacy and cost control).Communicate findings, model behavior and business impact clearly to both technical and non-technical audiences.Additional Duties and ResponsibilitiesContribute to the AI reference architecture, reusable components and internal best-practice standards.Stay current with emerging GenAI/agentic frameworks, foundation models and tooling, and pilot promising innovations.Mentor junior Sr. Digital Delivery Specialists and analysts and support a culture of experimentation and continuous learning.Knowledge, Skills and/or Abilities RequiredStrong hands-on experience in machine learning, deep learning and statistical modelling using Python (and SQL).Proven expertise in Generative AI LLMs, prompt engineering, RAG, embeddings, vector databases and fine-tuning.Experience building Agentic AI solutions and multi-agent / Agent-to-Agent (A2A) systems using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or similar.Experience delivering industrial AI use cases process optimization, predictive maintenance and AI digital twins.Hands-on Computer Vision experience (OpenCV, PyTorch/TensorFlow, object detection, segmentation, defect/anomaly detection).Solid MLOps capability MLflow, model deployment, containerization with Docker/Kubernetes, CI/CD, GitHub / GitHub Actions and model monitoring.Proficiency with Databricks (Spark, Delta Lake, Unity Catalog, notebooks) for large-scale data and ML workloads.Working knowledge of the Microsoft/Azure AI stack (Azure Machine Learning, Azure OpenAI, Azure AI Foundry, Fabric/Synapse) and Dataiku.Ability to translate business problems into technical solutions and communicate results effectively.Strong problem-solving, stakeholder-management and cross-functional collaboration skills.Minimum Requirements (Must Have):EducationBachelor’s / Master’s in Computer Science, Data Science, AI, Statistics, Engineering, Physics or Mathematics.Experience4+ years in data science / machine learning delivery.Demonstrated delivery of GenAI or agentic solutions to production.2+ years implementing cutting-edge AI/GenAI technologies.Exposure to manufacturing, heavy industry or steel operations.Experience with responsible-AI governance and LLMOps.Training / CertificationsCertifications in Machine Learning / AI, Databricks, Microsoft Azure AI or Dataiku.

We are looking for an experienced AI Development Engineer to join an exciting enterprise AI transformation project with a leading consulting organization.If you have hands-on experience building GenAI applications, RAG pipelines, AI agents and enterprise AI solutions, we would love to hear from you!Key Responsibilities:Develop GenAI applications, RAG pipelines, AI agents, copilots and automation workflows.Build responsive user interfaces using React, Next.js and TypeScript.Develop APIs, data connectors and AI integrations using Python and Azure AI services.Build PoCs, MVPs and reusable AI solutions for enterprise clients.Support AI testing, performance optimization, hallucination checks and responsible AI implementation.Required Skills & Experience:5–8 years of experience in software development, AI, cloud or automation.Strong hands-on experience with Python, FastAPI, React or Next.js.Experience with Azure OpenAI, Azure AI Foundry and Azure AI Search.Strong knowledge of RAG, embeddings, vector databases, prompt engineering and AI agents.Experience with APIs, Git, CI/CD, containers and automated testing.Good communication skills and experience working in Agile teams.All applications will be treated with strict confidentiality.

Job DescriptionThe Agentic AI Developer will lead the translation of agentic research into production-grade components that enhance CRM automation and decisioning. The role requires ownership of end-to-end delivery: designing prototypes, validating behaviours against business metrics, and deploying resilient services that operate under real customer workloads. Success will be measured by increased automation coverage, demonstrable reductions in manual effort, and stable, auditable agent behaviour in production.Key ResponsibilitiesDesign and implement agentic AI features that automate CRM workflows and decision tasks.Develop reliable orchestration layers to coordinate multi-step agent actions and external integrations.Integrate multiple LLM providers and maintain model selection logic to meet latency and cost SLAs.Create evaluation suites and metrics to assess agent correctness, safety and long-term effectiveness.Build monitoring, alerting and runbooks to mitigate failures and unintended behaviours.Collaborate with product managers, platform engineers and support teams to prioritise use cases and measure business impact.Maintain development and testing infrastructure used for agent experimentation and deployment.RequirementsProven track record delivering AI or agentic prototypes into production systems.Substantial experience with Large Language Models and orchestration tooling; familiarity with major providers and fine-tuning techniques.Strong software engineering skills in Python, TypeScript or similar languages and experience building robust APIs and services.Practical experience creating evaluation frameworks, A/B tests and metrics-driven product iterations.Operational experience managing servers, CI/CD and deployment tooling for ML services.Excellent stakeholder communication with an ability to translate technical trade-offs into product decisions.

ABOUT THE ROLEIn this role, you will design and build next-generation applications powered by AI agents on the Microsoft Azure ecosystem. You'll own features end-to-end, from responsive front-end experiences to scalable back-end services and agent orchestration layers, building applications for, driven by, and consumed by AI agents - combining strong full stack fundamentals with cutting-edge agentic AI development.Please note that this is a hybrid role, requiring office attendance at least twice a week.RESPONSIBILITIESDesign and build full stack, production-grade applications based on AI agents and multi-agent architectures.Develop modern, responsive web UIs supporting conversational experiences, real-time streaming agent responses, and dashboards for monitoring agents.Build robust back-end services and APIs (REST, gRPC, MCP) in Python (FastAPI), enabling agent-to-agent and agent-to-system communication.Develop agentic workflows using frameworks such as Semantic Kernel, AutoGen, LangChain/LangGraph, or Azure AI Agent Service.Integrate LLMs via Azure OpenAI Service, including prompt engineering, function/tool calling, and RAG pipelines.Design chunking and indexing strategies for RAG pipelines (semantic chunking, hybrid search, re-ranking) to optimize retrieval quality.Build and maintain evaluation pipelines for LLM/agent outputs (e.g., RAGAS, promptfoo, or custom eval frameworks) to measure accuracy, relevance, and reliability.Design cloud-native solutions using Azure Functions, AKS, Container Apps, Cosmos DB, and Azure AI Search, including data models across SQL and NoSQL stores.Implement secure, observable, cost-optimized systems using Azure Monitor, Key Vault, Entra ID, and CI/CD pipelines with infrastructure-as-code.REQUIREMENTS8+ years of full stack engineering experience, with at least 3 years on the Azure stack.Strong back-end skills in Python, with a solid grasp of distributed systems and microservices.Hands-on experience building applications with LLMs and agent frameworks (Semantic Kernel, AutoGen, LangGraph, or similar).Strong front-end proficiency in modern frameworks, typed JavaScript, semantic HTML/CSS, and responsive, accessible UI design.Experience with Azure OpenAI, Azure AI Foundry, and vector databases (Azure AI Search, Cosmos DB vector search).Proven experience with RAG architectures, embeddings, chunking/indexing strategies, prompt orchestration, and tool/function calling.Hands-on experience with evaluation frameworks for LLM/agent outputs and defining quality metrics for AI systems.Experience designing end-to-end agentic solution architectures (multi-agent orchestration, tool/agent boundaries, error-handling and fallback strategies).Experience building real-time features (WebSockets, SignalR, SSE) for streaming AI/agent responses.Solid understanding of authentication/authorization (OAuth2, Entra ID) and DevOps practices (CI/CD, IaC, Docker/Kubernetes).SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

BUSINESS INTRODUCTIONMajid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day.JOB TITLEData Science Manage | MAF LifeStyle | LifestyleROLE SUMMARYThis role is the primary owner of demand forecasting, demand sensing, demand planning, and advanced customer segmentation capabilities – driving measurable commercial impact across a multi-brand, multi-market retail portfolio spanning UAE, KSA, Kuwait, Qatar, and Bahrain. The role partners closely with brand owners, buying and planning teamsROLE PROFILEOwn end‑to‑end demand forecasting across SKU, category, and brand levels (short, medium, long term), incorporating seasonality, promotions, sell‑through, and external market factors across GCC markets.Lead demand sensing initiatives using real‑time POS, digital, and macro signals to anticipate near‑term demand shifts and enable rapid commercial decisions.Partner with Buying & Planning teams to translate forecasts into OTB, replenishment, markdown optimization, and NPI strategies, presented in clear commercial language.Design advanced customer segmentation models (RFM, CLV, behavioral and propensity models) to enable personalized marketing, CRM, and loyalty activation.Identify and priorities high‑impact AI use cases across pricing, assortment, promotions, churn, store clustering, and next‑best‑action with quantified business value.Drive adoption of Computer Vision solutions including footfall analytics, shelf compliance, planogram adherence, visual search, and automated product tagging.Lead NLP and conversational AI initiatives such as chatbots, sentiment analysis, multilingual (Arabic/English) text analytics, and automated product content generation.Build and scale production‑grade ML solutions on Azure/Microsoft Fabric, including automated pipelines, monitoring, drift detection, and executive reporting via Power BI.REQUIREMENTSBachelor’s degree in STEM (Science, Technology, Engineering, Mathematics).Advanced degree in related topics is a strong plus.Background or previous experience in retail, fashion, or lifestyle industry is strongly preferred.Experience in GCC/MENA markets is an advantage.Strong customer segmentation & CLV modeling experience.WHAT WE OFFERAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!Work in a friendly environment, where everyone shares positive vibes and excited about our future.Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.