senior stack engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As a Senior Full Stack AI Engineer, you will be the ultimate bridge between advanced data science and enterprise-scale software architecture. This role is designed for a rare breed of engineer: someone who possesses the deep mathematical and modeling background required to design advanced AI and Generative AI systems, paired with the full-stack infrastructure capabilities needed to deploy, containerize, scale, and monitor them across hybrid, cloud, and on-premise environments.</p><p>
Operating within complex client landscapes&mdash;such as premier banking and financial institutions (e.g., ADCB)&mdash;you will own the full engineering lifecycle of AI applications. You will design secure, highly performant systems, orchestrate massive data pipelines, optimize cloud spend, and establish robust MLOps practices that guarantee production stability.</p>
Key ResponsibilitiesEnd-to-End AI Architecture &amp; Full-Stack Design<ul><li>
Architect end-to-end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on-premise data centers and public cloud infrastructures (Azure/AWS).</li><li>
Design, build, and optimize high-throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.</li><li>
Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine-tuned open-source models into unified software ecosystems.</li></ul>
Deep Learning &amp; Advanced AI Engineering<ul><li>
Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.</li><li>
Design scalable knowledge retrieval frameworks using embedding models and enterprise-grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).</li><li>
Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low-latency production inference.</li></ul>
Infrastructure, MLOps &amp; FinOps<ul><li>
Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.</li><li>
Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.</li><li>
Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.</li><li>
Architect and optimize large-scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
Extensive experience designing, launching, and managing containerized AI/ML or data-intensive applications in highly regulated enterprise environments.</li><li>
A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.</li><li>
Practical experience implementing production-grade model monitoring frameworks and optimizing complex cloud/token expenditure.</li><li>
Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.</li><li>
Expert-level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on-premise deployment constraints, data security, and network topologies.</li><li>
Strong proficiency in Big Data toolsets and modern API gateway designs.</li><li>
A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.</li><li>
High proficiency across SQL, NoSQL, and Vector Database engines.</li><li>
&quot;Perfect-tier&quot; software engineering skills in Python and advanced data processing techniques.</li></ul><p></p><p>
It would also be great if you have:</p><p></p><ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.</li><li>
Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.</li><li>
Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).</li></ul><p></p><b><br>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Senior Full Stack Engineer

Dizzaract FZ LLC

<p>01. ABOUT THE COMPANY</p><p><b>Dizzaract</b> is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not theirorigin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.</p><p>02. ABOUT THE ROLE</p><p>We&rsquo;re looking for a <b>Senior AI Engineer</b> to design and ship production AI systems powering GAMED.</p><p>This role focuses on applied AI &mdash; not research for the sake of research. You&rsquo;ll work on recommendation systems, AI-driven moderation, retrieval systems, agentic workflows, ranking systems, and player-facing AI features integrated directly into the product ecosystem.<br/>You&rsquo;ll collaborate closely with Backend, Product, and Infrastructure teams to build scalable AI systems used by real users.</p><p>03. WHO YOU ARE</p><ul><li>You think pragmatically about AI products and infrastructure.</li><li>You care about reliability, evaluation, and production quality.</li><li>You&rsquo;re comfortable building systems from experimentation to deployment.</li><li>You understand both model quality and infrastructure cost.</li><li>You enjoy solving applied ML problems in live environments.</li></ul><p>04. RESPONSIBILITIES</p><ul><li>Design and deploy AI-powered product features.</li><li>Build recommendation, ranking, moderation, and agent systems.</li><li>Develop and optimize RAG pipelines.</li><li>Work with modern LLM ecosystems and open-weight models.</li><li>Design evaluation frameworks and testing pipelines.</li><li>Optimize inference, retrieval, and deployment performance.</li><li>Collaborate closely with backend and infrastructure teams.</li></ul><p>05. REQUIREMENTS</p><ul><li>5+ years in engineering.</li><li>3+ years building applied ML/AI systems in production.</li><li>Strong Python expertise.</li><li>Experience with PyTorch or JAX.</li><li>Experience with LLMs, RAG, and agent systems.</li><li>Experience with vector databases and retrieval systems.</li><li>Understanding of model evaluation and deployment strategies.</li><li>Experience balancing quality, latency, and infrastructure cost.</li></ul><p>06. NICE TO HAVE</p><ul><li>RLHF / DPO / PPO experience.</li><li>Multi-agent systems.</li><li>Recommender systems at scale.</li><li>MLOps tooling.</li><li>AI safety / red-teaming experience.</li></ul><p>07. WHAT WE OFFER</p><ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, gaming platforms, and digital asset economies.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul><p>Work Location: In person</p>

Senior AI Engineer

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.</p><p>
You will act as a technical pillar within the AI squad&mdash;collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.</p>
Key ResponsibilitiesGenerative &amp; Agentic AI Engineering<ul><li>
Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.</li><li>
Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.</li><li>
Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.</li></ul>
Deep Learning &amp; Model Optimization<ul><li>
Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.</li><li>
Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.</li><li>
Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.</li></ul>
Data &amp; MLOps Infrastructure<ul><li>
Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.</li><li>
Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.</li><li>
Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.</li><li>
Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).</li><li>
Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.</li></ul>
AI, Modeling &amp; Frameworks<ul><li>
Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.</li><li>
Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.</li><li>
A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.</li><li>
High proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.</li></ul>
Software Engineering &amp; Core Tools<ul><li>
Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.</li><li>
Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)</li></ul><p></p><p>
It would also be great if you had:</p><br>
<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.</li><li>
Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.g., familiarity with data privacy, compliance, and secure financial data models).</li><li>
Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

Salt

<div>
 <p>
  <strong>
   🤖 Full Stack Engineer
  </strong>
 </p>
 <p>
  <strong>
   ⏳ 6-month initial contract - with extensions
  </strong>
 </p>
 <p>
  <strong>
   📍 Abu Dhabi
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Build the Future of AI in Banking
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're partnering with one of the UAE's leading financial institutions to hire an experienced
  <strong>
   Full Stack Developer
  </strong>
  to help shape the next generation of AI-powered banking.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll play a key role in developing the customer and operational interfaces for a cutting-edge
  <strong>
   Agentic AI platform
  </strong>
  , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
  <strong>
   React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
  </strong>
  , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 </p>
 <p>
  The Role As a
  <strong>
   Full Stack Developer
  </strong>
  , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Be Doing:
  </strong>
 </p>
 <p>
  Build Modern AI Applications
 </p>
 <ul>
  <li>
   Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
  </li>
  <li>
   Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
  </li>
  <li>
   Create responsive, accessible applications that deliver an exceptional user experience.
  </li>
 </ul>
 <p>
  Human-in-the-Loop (HITL) Platform
 </p>
 <ul>
  <li>
   Develop reviewer portals enabling operations teams to validate AI-generated decisions.
  </li>
  <li>
   Build document viewers with field overlays and confidence indicators.
  </li>
  <li>
   Create streamlined approval, edit and rejection workflows with productivity-focused features.
  </li>
 </ul>
 <p>
  Operational Dashboards
 </p>
 <ul>
  <li>
   Build real-time dashboards displaying AI performance and operational health.
  </li>
  <li>
   Visualise key metrics including:
  </li>
  <li>
   Straight Through Processing (STP)
  </li>
  <li>
   Human intervention rates
  </li>
  <li>
   AI confidence trends
  </li>
  <li>
   Processing latency
  </li>
  <li>
   Token consumption
  </li>
  <li>
   Document volumes
  </li>
  <li>
   Exception analytics
  </li>
 </ul>
 <p>
  Platform &amp; API Integration
 </p>
 <ul>
  <li>
   Integrate applications with AI services, REST APIs and backend orchestration platforms.
  </li>
  <li>
   Develop secure communication between AI services and banking applications.
  </li>
  <li>
   Consume real-time event streams using WebSockets and Server-Sent Events.
  </li>
 </ul>
 <p>
  Internal AI Tooling
 </p>
 <ul>
  <li>
   Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
  </li>
  <li>
   Create developer tooling that accelerates AI delivery across multiple business functions.
  </li>
 </ul>
 <p>
  Performance &amp; Accessibility
 </p>
 <ul>
  <li>
   Deliver highly performant applications optimised for enterprise environments.
  </li>
  <li>
   Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
  </li>
  <li>
   Contribute to a reusable design system and component library aligned with corporate branding.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <p>
  Essential Experience
 </p>
 <ul>
  <li>
   5+ years' experience as a Full Stack Developer
  </li>
  <li>
   Commercial experience delivering
   <strong>
    AI, Generative AI, Agentic AI or Conversational AI
   </strong>
   projects
  </li>
  <li>
   Strong React &amp; TypeScript development experience
  </li>
  <li>
   Node.js or Python (FastAPI / Express)
  </li>
  <li>
   REST API integration and development
  </li>
  <li>
   Experience with WebSockets or Server-Sent Events
  </li>
  <li>
   State management using Redux, Zustand or React Query
  </li>
  <li>
   Data visualisation using Recharts, D3 or similar libraries
  </li>
  <li>
   OAuth2 / OpenID Connect authentication
  </li>
  <li>
   Docker and Kubernetes fundamentals
  </li>
  <li>
   Experience building scalable, enterprise-grade web applications
  </li>
 </ul>
 <p>
  Nice to Have
 </p>
 <ul>
  <li>
   React Native or mobile banking application development
  </li>
  <li>
   Azure Static Web Apps, Azure Front Door or CDN configuration
  </li>
  <li>
   High-resolution document rendering and annotation tools
  </li>
  <li>
   Experience displaying streaming LLM responses
  </li>
  <li>
   Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
  </li>
  <li>
   Experience working within Azure cloud environments
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join?
  </strong>
 </p>
 <p>
  This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 </p>
</div>


Full Stack Engineer

Saal.ai

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  As a DevOps Engineer, you will be responsible for implementing and maintaining the systems and processes that enable efficient and automated software development, deployment, and operations. You will collaborate with cross-functional teams to enhance our development and operations lifecycle, enabling faster and more reliable software delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Specific Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain a scalable and efficient infrastructure for software development, testing, and deployment.
  </li>
  <li>
   Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines, ensuring smooth and automated software releases.
  </li>
  <li>
   Collaborate with software developers to streamline build, deployment, and release processes.
  </li>
  <li>
   Handling deployments at customer premises.
  </li>
  <li>
   Monitor and optimize system performance, ensuring high availability and scalability.
  </li>
  <li>
   Implement and maintain configuration management tools and practices, ensuring consistency across environments.
  </li>
  <li>
   Implement and maintain containerization and orchestration technologies such as Docker and Kubernetes.
  </li>
  <li>
   Collaborate with security teams to implement and enforce best practices for infrastructure and application security.
  </li>
  <li>
   Troubleshoot and resolve issues related to infrastructure, deployments, and performance.
  </li>
  <li>
   Stay up-to-date with emerging technologies and industry trends related to DevOps and cloud computing.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills:
  </strong>
 </p>
 <ul>
  <li>
   Proven experience working as a DevOps Engineer or in a similar role.
  </li>
  <li>
   Strong knowledge of software development methodologies and best practices.
  </li>
  <li>
   Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
  </li>
  <li>
   Proficiency in any of the scripting languages such as Python, Bash etc.
  </li>
  <li>
   Experience with any of the CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
  </li>
  <li>
   Hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.
  </li>
  <li>
   Understanding of networking concepts, including TCP/IP, DNS, load balancing, and firewalls.
  </li>
  <li>
   Strong problem-solving skills and the ability to work independently as well as in a team environment.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to interact effectively with cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable Skills:
  </strong>
 </p>
 <ul>
  <li>
   Certification in DevOps-related technologies (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator).
  </li>
  <li>
   Experience with infrastructure-as-code tools like Terraform or CloudFormation.
  </li>
  <li>
   Knowledge of monitoring and logging tools such as ELK Stack, Prometheus, or Grafana.
  </li>
  <li>
   Understanding of Agile and DevOps methodologies.
  </li>
  <li>
   Familiarity with database management systems like MySQL, PostgreSQL, and MongoDB.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


DevOps Engineer

Burtville Development

<p>Senior MEP Engineer</p><p><b>Company:</b> Burtville Development<br/><b>Location:</b> Abu Dhabi, United Arab Emirates</p><p>Join Burtville Development</p><p>At Burtville Development, we are committed to creating exceptional residential communities through innovation, quality, and engineering excellence. As one of Abu Dhabi's growing real estate developers, we are looking for an experienced <b>Senior MEP Engineer</b> to become a key member of our engineering team.</p><p>This is an excellent opportunity for a driven professional who is passionate about delivering high-quality developments and enjoys collaborating with multidisciplinary teams throughout the project lifecycle.</p><p>Key Responsibilities</p><p>As our Senior MEP Engineer, you will:</p><ul><li>Lead the design, coordination, and technical review of Mechanical, Electrical, Plumbing (MEP), Drainage, Fire Protection, and ELV systems from concept design through tender documentation.</li><li>Ensure seamless coordination between MEP, Architectural, Structural, Interior Design, and BIM teams.</li><li>Review engineering calculations, equipment selections, system sizing, routing, and service coordination to ensure efficient and practical designs.</li><li>Ensure all MEP designs comply with Abu Dhabi authority requirements, including ADM, ADDC, Civil Defense, Estidama, and other applicable regulations.</li><li>Manage authority submissions, technical comments, approvals, and resubmissions.</li><li>Conduct multidisciplinary coordination meetings and proactively resolve design conflicts.</li><li>Review BIM models, shop drawings, and clash detection reports to ensure coordination accuracy and project quality.</li><li>Prepare and review technical specifications, Bills of Quantities (BOQs), and equipment schedules.</li><li>Provide technical guidance and mentorship to design engineers, BIM coordinators, and drafting teams.</li><li>Support procurement and construction teams by providing technical clarifications and value engineering solutions.</li><li>Present engineering recommendations and technical solutions to management, consultants, and project stakeholders.</li><li>Ensure projects are delivered in accordance with company standards, project requirements, applicable codes, and agreed timelines.</li></ul><p>What We're Looking For</p><p>The ideal candidate will have:</p><ul><li>Bachelor's Degree in Mechanical Engineering or a related engineering discipline.</li><li>Minimum <b>8 years of relevant experience</b>, preferably within the UAE.</li><li>Extensive experience in MEP design and coordination for residential and mixed-use developments.</li><li>Strong technical knowledge of HVAC, Electrical, Plumbing, Drainage, Fire Protection, and ELV systems.</li><li>In-depth understanding of Abu Dhabi authority regulations and approval processes.</li><li>Proficiency in AutoCAD, Revit MEP, Navisworks, and other relevant engineering software.</li><li>Excellent leadership, communication, problem-solving, and coordination skills.</li><li>Ability to manage multiple projects while maintaining high standards of quality and accuracy.</li></ul><p><b>Salary</b></p><p>Competitive salary, commensurate with qualifications and experience, will be discussed during the interview.</p><p>Work Location: In person</p>

Senior Mechanical Engineer (MEP) - Site Based

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Senior Mechanical Engineer (MEP) - Site Based