ai data ux engineer

Faze 3 Consulting

AI Data UX EngineerDesign and ship the human side of enterprise AI.A leading Abu Dhabi-based holding group is hiring an AI Data UX Engineer to design and build the user experience layer for AI assistants, BI surfaces, and data apps across desktop, mobile, and Teams. If you can both design and ship production frontends &mdash; and you care about making complex data genuinely usable &mdash; we want to hear from you. Reports to the AI Solutions Manager.What you'll own:<ul><li>Translate business workflows into wireframes, prototypes, and tested UI patterns in Figma and Fluent UI.</li><li>Implement production-grade frontends using React, TypeScript, Power Apps, and Power Pages, integrated with AI and REST APIs.</li><li>Design Power BI experiences &mdash; reports, semantic models, and themes &mdash; optimized for decisions and performance.</li><li>Instrument telemetry, A/B tests, and in-app guidance; iterate based on usage analytics.</li><li>Ensure accessibility (WCAG 2.1 AA), localization, and secure-by-design patterns (MSAL, role-based UI).</li><li>Collaborate with the delivery partner's squads and internal engineers to align UX with platform constraints and non-functionals &mdash; making data availability a first-class design and delivery outcome.</li><li>Enable in-app data querying, guided data correction flows, and user feedback loops to improve data discoverability and quality.</li><li>Partner with Data Ops and platform teams for backend implementation of data write-back patterns; ensure UX patterns respect RBAC, logging, and governance controls.</li><li>Integrate robust CRUD operations and database interactions so users can efficiently access, manage, and update information.</li><li>Design governed user experiences for data interaction &mdash; search, view, update requests, approvals &mdash; aligned to access controls, auditability, and workflow patterns, without owning core database engineering.</li><li>Design explainability and trust UX: citations, confidence cues, audit trails, and &quot;why this answer&quot; patterns for assistants and analytics surfaces to improve adoption and responsible use.</li><li>Work closely with the delivery partner's visualization and UX engineers on a shared &quot;definition of done&quot; for dashboards, assistant UX surfaces, and adoption telemetry.</li></ul>What you bring<ul><li>4&ndash;6 years in product or UX engineering for data/AI products.</li><li>A portfolio demonstrating shipped enterprise experiences across web, mobile, Teams, or Power Platform.</li><li>Bachelor's in Design, Computer Science, Information Systems, or equivalent portfolio-based experience.</li></ul>Core skills and tools<ul><li>Figma, Fluent UI, React/TypeScript, HTML/CSS.</li><li>Power Apps and Power Pages; MSAL and Microsoft Graph integration.</li><li>Power BI: DAX, modeling, performance tuning, governance with Fabric/Purview.</li><li>UX research, usability testing, accessibility, localization, and content design.</li><li>Telemetry (App Insights), feature flags, and experimentation.</li></ul>Preferred certifications<ul><li>Microsoft Certified: Power Platform App Maker (PL-100) or Developer (PL-400).</li><li>Microsoft Certified: Power BI Data Analyst Associate (PL-300).</li><li>Any recognized UX/HCI certification.</li></ul>Location: Abu Dhabi, UAEEmployment Type: Full-timeExperience: 4-6 yearsSalary Range: 12,000 - 18,000 (AED per month)Pay: AED12,000.00 - AED18,000.00 per monthWork Location: In person

AI Data UX Engineer

Salt

<div>
 
 
 Job Title:
 
 Product Designer &ndash; AI &amp; Digital Innovation
 
 
 
 Location
 
 : Abu Dhabi, Onsite 4 days a week
 
 
 Please note that this is a
 
 contract position for 5 months
 
 .
 
 
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a Product Designer to lead the design of AI-powered digital experiences across products and services. This role sits at the intersection of design, data, and emerging technologies, with a focus on creating intuitive, trustworthy, and human-centered AI solutions.
 
 
 
 
 
 You will work closely with a key product managers and data scientists to translate complex AI capabilities into clear, usable, and valuable customer experiences.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design end-to-end user experiences for AI-driven products (e.g. chatbots, personalization, fraud detection interfaces, recommendation systems)
 </li>
 <li>
 Translate complex AI models and data outputs into intuitive, explainable user interfaces
 </li>
 <li>
 Lead UX/UI design across discovery, concepting, prototyping, and delivery
 </li>
 <li>
 Collaborate with data science teams to shape how AI insights are surfaced to users
 </li>
 <li>
 Ensure ethical, transparent, and responsible AI design practices (e.g. explainability, bias awareness, user trust)
 </li>
 <li>
 Conduct user research and usability testing, particularly around AI understanding and trust
 </li>
 <li>
 Develop and evolve design systems to support AI-driven features and interactions
 </li>
 <li>
 Work within banking and regulatory constraints to deliver compliant, secure experiences
 </li>
 <li>
 Present design concepts and rationale clearly to senior stakeholders
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 6+ years of experience in product design, UX/UI, or interaction design
 </li>
 <li>
 Proven experience designing complex digital products (preferably in fintech, banking, or data-heavy environments)
 </li>
 <li>
 Experience working on AI/ML-driven products or data-centric features
 </li>
 <li>
 Strong ability to simplify complex systems into intuitive user experiences
 </li>
 <li>
 Proficiency in design tools (Figma, Sketch, Adobe XD, etc.)
 </li>
 <li>
 Experience with prototyping and testing AI interactions (e.g. conversational design, adaptive interfaces)
 </li>
 <li>
 Solid understanding of user-centered design principles and research methodologies
 </li>
 <li>
 Ability to collaborate effectively with technical teams (data scientists, engineers)
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience in conversational design (chatbots, voice interfaces)
 </li>
 <li>
 Familiarity with AI concepts (ML models, LLMs, predictive analytics)
 </li>
 <li>
 Background in financial services
 </li>
 <li>
 Knowledge of accessibility and inclusive design practices
 </li>
 </ul>
</div>

Product Designer (AI)

Discovered MENA

<div>
 
 
 Staff Software Engineer
 
 
 
 
 
 
 
 Location:
 
 Abu Dhabi, UAE |
 
 Type:
 
 Permanent, Full-Time
 
 
 
 
 
 We recently had a brand new opportunity for a Staff Software Engineer to join a new multi sector AI programme in Abu Dhabi. The Staff Software Engineer will be owning the backend platform infrastructure that the brand new AI factory is built on. This is not an AI specialist position but a backend first position, leading on the infrastructure for the AI engineering teams to build on.
 
 
 
 
 
 This is a staff level individual contributor position in which you would be owning the event-driven architecture, distributed systems, APIs, deployment systems and cloud operational tooling.
 
 
 
 
 
 If you are currently at the Staff/Principal level with in depth experience in event driven architecture (Kafka, Azure Service Bus, Azure Event Hubs etc.) data infrastructure and designing deployment platforms then this would be the perfect next step for you.
 
 
 
 
 
 
 Requirements for the Staff Software Engineer:
 
 
 <ul>
 <li>
 10+ years in backend/platform engineering
 </li>
 <li>
 Strong experience in Python or Java
 </li>
 <li>
 Experience with event-driven architecture (Kafka, Azure Service Bus, Azure Event Hubs)
 </li>
 <li>
 In depth experience leading on architectural decisions at scale
 </li>
 </ul>
 
 
 
 
 
 Package -
 
 Extremely
 
 
 competitive tax free salary with bonus + UAE benefits
 
 
 
 
 
 This is open to candidates based in the UAE or open to relocate. Full comprehensive relocation package for self &amp; family will be included for those keen to relocate.
 
 
 
 
 
 
 Apply now to be considered for this great opportunity!
 
 
</div>

Staff Software Engineer

AI/ML/DevOps EngineerOwn the MLOps platform that powers enterprise AI at scale.A leading Abu Dhabi-based holding group is hiring an AI/ML/DevOps Engineer to architect, operate, and continuously improve the end-to-end MLOps and LLMOps platform for a flagship enterprise AI programme. You'll be the technical authority reviewing, governing, and signing off CI/CD, data and model pipelines, infrastructure, deployment, security, and observability &mdash; ensuring secure, scalable, and compliant delivery across environments. Reports to the AI Product Manager within the AI Excellence Centre.What you'll own:<ul><li>Own the end-to-end MLOps/LLMOps reference architecture: ingestion &rarr; validation &rarr; feature and embedding pipelines &rarr; training and fine-tuning &rarr; evaluation &rarr; registry &rarr; deployment &rarr; monitoring &mdash; including RAG and agentic workflows.</li><li>Architect, review, and approve CI/CD for ML and LLM systems: code, data, prompt, and model artifact versioning; build and release pipelines (Azure DevOps / GitHub Actions); automated unit, integration, and contract testing; and promotion/rollback (blue-green / canary) across dev, test, and production.</li><li>Define and govern AI platform foundations on Azure: IaC (Bicep/Terraform), AML workspaces, AKS GPU node pools and scheduling, private networking (VNet integration / Private Link), identity (Managed Identities / PIM), secrets (Key Vault), and encryption and data residency controls.</li><li>Review and approve production deployment patterns for model and LLM serving (AKS / KServe / AML online endpoints), including containerization, inference optimization (batching, quantization where applicable), API management, autoscaling, resiliency, and RAG runtime components (vector store, retriever, re-ranker, cache).</li><li>Own observability and reliability for AI services: OpenTelemetry tracing, prompt and inference logs (with PII controls), latency/throughput/cost metrics, SLOs/SLIs, model performance monitoring, data and model drift detection, and LLM evaluations (quality, hallucination checks, toxicity and safety guardrails) with incident playbooks.</li><li>Establish and enforce MLOps/LLMOps governance: dataset lineage, data quality validation (schema and tests), feature store and model registry standards, artifact provenance (SBOM/SLSA), vulnerability scanning, approval gates for model and prompt releases, and compliance-aligned documentation for model risk (intended use, limitations, evaluation results).</li><li>Enable delivery squads &mdash; including the primary delivery partner &mdash; with &quot;golden path&quot; templates (AML pipelines, RAG blueprints, evaluation harnesses), reusable IaC modules, and coding standards; run deep technical design and architecture reviews and sign off production readiness (capacity, security, observability, DR) for all AI releases.</li><li>Support the Run &amp; Operate model by enabling issue triage and minor enhancement workflows (ticket intake &rarr; fix &rarr; controlled release), ensuring changes follow the same release governance and quality gates.</li><li>Own the Operational Acceptance Gate: no production release without runbooks, monitoring dashboards, incident playbooks, access model, and DR test evidence.</li></ul>Scope clarity: you provide platform standards, review, and sign-off &mdash; you do not replace the delivery partner's engineering, but you enforce the &quot;golden path&quot; and production readiness bar.What you bring:<ul><li>8&ndash;10 years across DevOps, SRE, and/or ML Engineering with production systems on Azure.</li><li>Hands-on experience with Azure ML, AKS, Azure DevOps or GitHub Actions, IaC, and containerization.</li><li>Bachelor's in Computer Science, Engineering, or equivalent experience.</li></ul>Core skills required:<ul><li>Python, YAML, Docker, Helm, KQL; GitOps (Argo/Flux) awareness.</li><li>Security in CI/CD: SAST/DAST, supply-chain security (Sigstore), secrets management (Key Vault).</li><li>Performance testing (k6 / JMeter), contract testing, and E2E testing.</li><li>Cost optimization and capacity planning for GPU and CPU workloads.</li><li>Strong grasp of model serving, inference optimization, and observability tooling.</li></ul>Required certification:<ul><li>Microsoft Certified: DevOps Engineer Expert (AZ-400)</li></ul>Preferred certifications:<ul><li>Microsoft Certified: Azure Administrator (AZ-104) or Solutions Architect (AZ-305)</li><li>CKA or CKAD (Kubernetes)</li></ul>Location: Abu Dhabi, UAEEmployment Type: Permanent, Full-timeExperience: 8&ndash;10 yearsSalary Range: 25,000 - 33,000 (AED per month)Pay: AED25,000.00 - AED33,000.00 per monthWork Location: In person

AI/ML/DevOps Engineer

DICETEK LLC

<div>Senior Quality Automation Engineer
(UI &amp; API &amp; AI Validation)
About the Role
We are looking for a Senior Quality Automation Engineer with strong experience in modern test automation, backend validation, and AI-driven application testing.
You will work across UI/API automation, event-driven microservices, and GenAI evaluation workflows to ensure high-quality releases across distributed systems.
Key Responsibilities
Automation Engineering<ul><li>
Build and maintain scalable UI and API automation frameworks using Playwright (TypeScript/JavaScript or Python).</li><li>
Integrate automated tests into CI/CD pipelines.</li><li>
Improve execution speed, reliability, and reduce flaky tests.</li></ul>
Backend &amp; Event-Driven Testing<ul><li>
Validate asynchronous workflows and distributed systems using Kafka or similar messaging platforms.</li><li>
Implement contract testing and schema validation to ensure reliable communication between microservices.</li><li>
Verify event publishing, consumption, and end-to-end data integrity.</li></ul>
AI &amp; LLM Validation<ul><li>
Test and evaluate GenAI/LLM-based features for accuracy, relevance, and hallucination handling.</li><li>
Work with evaluation frameworks such as Ragas, LangSmith, or TruLens.</li><li>
Build and maintain datasets for regression and prompt validation.</li></ul>
Collaboration<ul><li>
Work closely with developers, AI engineers, and product teams to define quality strategies.</li><li>
Participate in architecture, API, and prompt design discussions.</li></ul>
Required Skills<ul><li>
5+ years of experience in QA Automation or Software Testing.</li><li>
Strong hands-on experience with Playwright.</li><li>
Experience testing APIs, microservices, and event-driven systems.</li><li>
Good understanding of Kafka, contract testing, and schema validation.</li><li>
Exposure to AI/LLM testing and RAG-based applications.</li><li>
Proficiency in TypeScript, JavaScript, or Python.</li><li>
Experience with CI/CD pipelines, Docker, and Kubernetes is a plus.</li></ul></div>

Senior Quality Automation Engineer

GenBio AI

<div>
 GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.
 
 
 This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.
 
 
 As our data ingestion needs grow, we are looking for a Bioinformatics Data Engineer to act as the crucial bridge between raw biological data and our scalable infrastructure. Reporting to the Data Engineering Lead, you will leverage your deep biological domain expertise to build the initial scripts and processing logic for complex datasets, ensuring they are primed for large-scale foundation model training.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Source &amp; Acquire Biological Data - Identify, evaluate, and obtain high-quality bioinformatics datasets from public and partner sources (e.g., NCBI, PubChem, ENCODE,UniProt etc.) to support research and model development initiatives
 </li>
 <li>
 Deeply Understand Complex Datasets - Develop a comprehensive understanding of biological datasets, including data structures, schemas, metadata standards, entity relationships, and underlying biological context to ensure accurate interpretation and usage
 </li>
 <li>
 Design &amp; Implement Data Processing Pipelines - Develop robust preprocessing scripts and scalable data transformation workflows using Python, R, and relevant Tools. Leverage AI-assisted tools where appropriate to process, clean, normalize, and integrate complex biological data for foundation model training
 </li>
 <li>
 Structure &amp; Standardize Biological Data - Organize heterogeneous datasets into well-defined, interoperable formats aligned with internal infrastructure requirements and downstream AI training pipelines
 </li>
 <li>
 Bioinformatics Data Analysis - Perform exploratory and statistical analysis of genomic, transcriptomic, proteomic, and other multi-omics datasets to assess data quality, uncover biological patterns, and generate insights that inform model development. Apply appropriate computational and statistical methods to validate assumptions and support downstream AI training and evaluation
 </li>
 <li>
 Build Data Products - Create production-ready data assets, including standardized datasets, curated releases, dashboards, analytical reports, and technical documentation to enable efficient research and model evaluation
 </li>
 <li>
 Ensure Data Quality &amp; FAIR Compliance - Curate, annotate, validate, and standardize public and partner datasets in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles, ensuring long-term usability and reproducibility
 </li>
 <li>
 Collaborate Cross-Functionally - Partner closely with research scientists and ML engineers to translate biological research needs into scalable data engineering solutions that support AI model training and evaluation
 </li>
 <li>
 Knowledge Sharing &amp; Documentation - Contribute domain expertise by documenting data methodologies, maintaining clear technical documentation, and sharing biological data insights across teams
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Bioinformatics, Computational Biology, Computer Science, or a related field with a heavy focus on the life sciences
 </li>
 <li>
 Biological Data: Deep, hands-on familiarity with multiple biomedical data modalities (e.g., genomics, transcriptomics, spatial omics, protein structure, biomedical imaging, clinical/phenotypic data, etc.)
 </li>
 <li>
 Biological Tools: Familiar with Bioconda,Biopython,Bioconductor, samtools,bamtools,bcftools,gffutils etc
 </li>
 <li>
 Scripting &amp; Tooling: Strong programming skills in Python (Pandas, NumPy) and proficiency with standard bioinformatics workflow managers and tools (e.g., Ray, Kubeflow)
 </li>
 <li>
 Engineering Handoff: Experience writing clean, modular code that can be easily picked up by core data engineers for optimization in cloud environments (AWS/GCP/HF) and containerized setups (Docker)
 </li>
 <li>
 AI/ML Awareness: A solid understanding of machine learning workflows and how biological data must be formatted and batched for deep learning frameworks (e.g., PyTorch)
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Bioinformatics Data Engineer

ESAT

Job Responsibilities1. End-to-End Application Development&middot; Design, develop, and maintain both frontend and backend components of ERP systems&middot; Build scalable modules for finance, HR, inventory, CRM, etc.&middot; Ensure seamless integration across different ERP modules2. Frontend Development<ul><li>Develop responsive UI using frameworks like React, Angular</li></ul><ul><li>Ensure cross-browser compatibility and mobile responsiveness</li></ul><ul><li>Work closely with UI/UX designers</li></ul><ul><li>Good Knowledge in CSS/SCSS.</li></ul>3. Backend Development&middot; Build APIs and business logic using technologies like: Node.js , .Net Core&middot; Implement authentication, authorization, and data processing workflows4. Database Management<ul><li>Design and maintain databases such as: ORACLE, MS SQL</li></ul><ul><li>Optimize queries and ensure data integrity for ERP transactions</li></ul>5. ERP Module Development &amp; Integration&middot; Develop and customize ERP modules (Finance, HR, Procurement, Inventory)&middot; Integrate third-party services (payment gateways, HR tools, etc.)&middot; Work with APIs and microservices architecture6. Testing &amp; Debugging<ul><li>Perform unit testing, integration testing, and bug fixing</li></ul><ul><li>Ensure application performance, scalability, and security</li></ul>7. Deployment &amp; DevOps Collaboration&middot; Deploy applications on cloud platforms like: OCI, Microsoft Azure&middot; Work with CI/CD pipelines and version control systems like TFS8. Maintenance &amp; Support<ul><li>Provide ongoing support and system upgrades</li></ul><ul><li>Troubleshoot issues reported by users</li></ul><ul><li>Improve system performance and usability</li></ul>Job Requirements:&middot; Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field&middot; 2&ndash;5+ years of experience in full stack development&middot; Experience in ERP systems or enterprise applications is highly preferred&middot; HTML, CSS,SCSS,JavaScript,Typescript&middot; Frameworks: React / Angular&middot; UI/UX understanding&middot; Strong knowledge of .Net Core&middot; API development (RESTful services)&middot; SQL and NoSQL database knowledge&middot; Data modeling and query optimization&middot; Microservices Architecture&middot; Object-Oriented Programming&middot; Version control (TFS)&middot; CI/CD tools&middot; Agile/Scrum methodologies&middot; Problem-solving and analytical thinking&middot; Strong communication and teamwork&middot; Ability to understand business processes (finance, HR, supply chain)&middot; Experience with ERP platforms (e.g., SAP ERP, Odoo)&middot; Knowledge of accounting or business workflows&middot; Experience with cloud-native applicationsWork Location: In person

Full Stack Developer (.Net & Angular)

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