qa/qc engineer

mechanical engineer

civil engineer

planning engineer

estimation engineer

ai engineer conversational ai

D4 Insight

<div><p><b>Location:</b> Abu Dhabi<br>
<b>Experience:</b> 5+ Years</p>
<h3 class="jobSectionHeader"><b>
Role Overview:</b></h3>
<p>
We are looking for AI Engineer specializing in Conversational AI, Virtual Assistants, and LLM-powered customer engagement solutions. The role involves building intelligent, context-aware conversational systems for banking environments.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3>
<ul><li>Design chatbot and virtual assistant experiences.</li>
<li>Build conversational workflows and dialogue management systems.</li>
<li>Integrate APIs and backend services.</li>
<li>Develop prompt libraries and response strategies.</li>
<li>Implement LLM evaluation, monitoring, and safety controls.</li>
<li>Ensure regulatory compliance and response quality.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>LLMs &amp; Conversational AI</li>
<li>Prompt Engineering</li>
<li>API Integration</li>
<li>Agentic AI Frameworks</li>
<li>Evaluation &amp; Guardrails</li>
<li>Python</li>
</ul>
<p> <b>Apply Now: </b><b>[email protected]</b></p></div>

AI Engineer – Conversational AI

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</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>
The Full Stack Developer builds the human-facing surfaces of the Agentic Workflow Automation (AWA) platform&mdash;specifically the Human-in-the-Loop (HITL) reviewer interface, the AgentOps operational dashboard, and internal AWA developer portals. Operating within the AI Centre of Excellence (AICoE) at a Band 7 / Mid-level capacity, this position works directly at the boundary between complex AI pipelines and end-users (including operations reviewers, business analysts, bank customers, and engineering teams). The role translates complex agent states, confidence scores, and exception data into high-performance, intuitive user interfaces that enable fast, informed human decisions.</p>
Responsibilities<ul><li>
HITL Reviewer Interface: Design and build the operations reviewer queue interface, incorporating high-resolution native document image displays, extracted field overlays with per-field confidence indicators, clear exception reasoning, and optimized keyboard-shortcut workflows.</li><li>
AgentOps Dashboard: Build and maintain real-time operational dashboards that consume Azure Monitor metrics and Log Analytics data to track STP (Straight-Through Processing) rates, HITL rates, token consumption, and latency metrics (P50/P95/P99).</li><li>
System &amp; API Integration: Establish secure communication between AI core services and core banking apps via the AWA Conversation Orchestrator backend API. Connect applications to APIM-governed LLM endpoints and Orkes Conductor job status APIs.</li><li>
Internal Tooling &amp; Portals: Build and maintain the AWA Use Case Manifest authoring tool, the Prompt Management System (PMS) UI, and ground-truth annotation interfaces used by the operations team for test data preparation.</li><li>
Performance &amp; Accessibility Optimization: Ensure all web interfaces meet institutional accessibility standards, optimize application performance for lower-bandwidth branch locations, and implement graceful error handling for AI pipeline latency.</li><li>
Design System Maintenance: Build and maintain a unified, consistent AWA component library and design system across all interfaces, ensuring strict alignment with corporate brand guidelines.</li></ul><br>
<b>
Requirements</b><p><br>
We need you to have:</p><ul><li><b><br>
An a</b>dvanced proficiency in building highly responsive web applications using <b>React, TypeScript, and modern CSS frameworks</b>.</li><li>
Mastery of complex asynchronous data flows and state synchronization using tools like Redux, Zustand, or React Query.</li><li>
A strong capability to build interactive, performance-optimized operational dashboards using charting libraries such as Recharts or D3.js.</li><li>
Be competency in implementing WebSockets or Server-Sent Events (SSE) for streaming updates and live data synchronization.</li><li><b>
The a</b>bility to design and consume structured REST APIs and construct Backend-for-Frontend (BFF) layers using Node.js or Python (FastAPI/Express).</li><li>
A minimum of 5 years of professional full-stack software development experience, with a clear focus on enterprise web applications.</li><li>
Hands-on experience integrating secure identity providers and authentication protocols, specifically OAuth2, OIDC, and Microsoft Entra ID.</li><li>
Practical experience working with Docker and deploying/managing frontend container workloads within Kubernetes environments (specifically Azure Kubernetes Service - AKS).</li><li>
Holder of a Bachelor's degree in Computer Science, Software Engineering, or an equivalent technical field.</li></ul><p></p><p>
It would also be great if you have:</p><p></p><ul><li>
Familiarity with React Native or native iOS/Android development to facilitate mobile banking application integrations.</li></ul><ul><li>
Experience developing complex overlay layers, drawing tools, and bounding-box annotations on high-resolution canvas scans.</li><li>
Knowledge of configuring Azure Static Web Apps, Azure Front Door, and Content Delivery Networks (CDNs).</li><li>
A practical understanding of rendering live LLM token streams smoothly within conversational or chat interfaces.</li><li>
A conceptual understanding of machine learning metrics, loss functions, and probability distributions to improve data visualization designs.</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>

Full Stack Developer

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</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>
The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component&mdash;ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations&mdash;is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions.</p>
Your responsibilities as the DevOps Engineer include:<ul><li>
Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances.</li><li>
Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates.</li><li>
Managing multi-namespace AKS clusters, enforcing strict network policies, pod isolation, workload identities, and KEDA autoscaling rules based on active message queues or consumer lag.</li><li>
Overseeing container registries, enforce mandatory image signing, monitor vulnerability tracking outputs, and maintain admission control validation policies via OPA Gatekeeper.</li><li>
Administering access architectures, managed identity configurations, automated TLS certificate lifecycles, and cryptographic secret rotation schedules within Azure Key Vault.</li><li>
Constructing complex KQL queries and alerting conditions within Azure Monitor and Log Analytics to track service-level SLA breaches, runtime failures, and token utilization thresholds.</li><li>
Implementing platform security configurations, managing private connectivity endpoints, Azure Policy enforcement rules, and enterprise firewall architectures.</li><li>
Defining, implementing, and validating automated disaster recovery failover paths, maintaining target Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for storage accounts and model serving endpoints.</li></ul><br>
<b>
Requirements</b><p><br>
We need you to have:</p><ul><li>
A deep competence in building enterprise-grade, production-ready cloud architectures using infrastructure-as-code platforms (Terraform or Bicep).</li><li>
Technical mastery over Kubernetes (AKS) configuration, including Helm/Kustomize deployment engines, network policies, and cluster admission controls.</li><li>
Practical ability to implement automated horizontal scaling strategies using Kubernetes Event-Driven Autoscaling (KEDA) or equivalent streaming metrics.</li><li>
The capability to manage multi-stage, gated deployment pipelines across multi-environment setups using Azure DevOps or GitHub Actions.</li><li>
A solid understanding of enterprise network routing, including hub-and-spoke VNets, private link endpoints, network security groups, and cloud firewall boundaries.</li><li>
A minimum of 5 years of experience in dedicated DevOps, SRE, or Platform Engineering roles, with at least 2 years explicitly focused on Azure ecosystems.</li><li>
A documented history managing production Kubernetes deployments, implementing automated RBAC, policy layers, and namespace segmentation.</li><li>
Experience writing advanced KQL (Kusto Query Language) expressions to parse logs and feed operational dashboards.</li><li>
Hold a Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline.</li></ul><p></p><p>
It would also be great if you:</p><p></p><ul><li>
Are proficient with Kubernetes Workload Identity, managed identity architectures, and Azure Key Vault access security profiles.</li><li>
Are familiar with Azure AI Foundry and API Management platforms, specifically controlling token consumption quotas, routing, and rate limits.</li><li>
Are familiar with Azure Event Hubs or Kafka consumer groups, alongside immutable ADLS Gen2 storage structure management.</li><li>
Hold an active Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or Certified Kubernetes Administrator (CKA) designations.</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>

DevOps Engineer

Systematic

<p></p><div><h1 class="jobSectionHeader"><b>Data and Solutions Engineer - Defence</b></h1>
<h2 class="jobSectionHeader"><b>Abu Dhabi, UAE</b></h2><br>
<p></p>
<p><b>
About the Role</b><br>
Join our UAE Defence Services team and help transform complex military data into actionable insights that support mission-critical decision-making. You will work at the intersection of data engineering, Artificial Intelligence (AI) including agentic, and system integration to deliver operational capabilities across land, maritime, and joint environments.</p>
<p>
Working closely with Defence customers, operators, and internal teams, you will design, implement, and support datadriven solutions within Systematic&rsquo;s SitaWare ecosystem, contributing directly to real-world operational effectiveness.</p><br>
<p></p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Data Integration &amp; Engineering: Ingest, process, and integrate data from multiple sources into unified workflows</li>
<li>Data Transformation &amp; Pipelines: Design and manage pipelines using low/no-code tools, and business logic</li>
<li>AI &amp; Agentic Capabilities: Integrate AI services, including agentic workflows, to automate data processing</li>
<li>System Integration: Configure and integrate systems to enable data exchange across complex architectures</li>
<li>Visualisation &amp; Reporting: Deliver dashboards, reports, and searchable datasets for operational use</li>
<li>Solution Delivery: Support end-to-end delivery of mission-critical C4I solutions within scope, time, and quality</li>
<li>Deployment &amp; Support: Configure, deploy, and provide lifecycle support for operational systems</li>
<li>Stakeholder Engagement: Engage users and stakeholders to capture requirements, drive solutions and adoption</li>
<li>Training &amp; Enablement: Train customers on data and AI tools to ensure effective operational use</li>
<li>Business Development Support: Support proposals, solution scoping, and capture activities, including technical inputs, estimates, and development of demonstrations and PoCs</li></ul><br>
<p></p>
<p><b>
Required Skills &amp; Experience</b></p><br>
<p></p>
<p>
Technical</p>
<ul>
<li>Experience in data engineering, system integration, or similar roles</li>
<li>Familiarity with data integration tools (e.g., Node-RED, Apache NiFi)</li>
<li>Experience with APIs, JSON/XML, and data processing</li>
<li>Exposure to cloud platforms (AWS/Azure)</li>
<li>Understanding of AI/ML services, models and agentic AI concepts</li></ul><br>
<p></p>
<p>
Professional Experience</p>
<ul>
<li>Customer-facing or consultancy experience working with complex stakeholders</li>
<li>Experience delivering solutions in Defence, security, or government environments</li>
<li>Experience working in multi-domain operational contexts (advantage)</li></ul><br>
<p></p>
<p>
Soft Skills</p>
<ul>
<li>Strong problem-solving and analytical skills</li>
<li>Excellent communication and stakeholder engagement capabilities</li>
<li>Ability to work independently and within multidisciplinary teams</li>
<li>Professional presence with Defence customers</li></ul><br>
<p></p>
<p>
Education</p>
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, IT, or related field</li></ul><br>
<p></p>
<p>
Additional Requirements</p><br>
<ul>
<li>Fluent in English; Arabic is a strong advantage</li>
<li>Eligible for UAE security clearance</li>
<li>Willingness to travel within the region and to HQ as required</li></ul><br>
<p></p>
<p><b>
Why Join Us?</b></p>
<ul>
<li>Work on mission-critical Defence systems with real-world impact</li>
<li>Be part of a high-performing, multidisciplinary team</li>
<li>Engage directly with end users and decision-makers</li>
<li>Contribute to cutting-edge capabilities spanning data, AI, and simulation</li>
</ul>
<div><div><div><p><b>Get in touch</b></p>
<div><b>
Greta Renner</b></div>
<div>
Senior Talent Acquisition Consultant</div>
<p></p>
</div></div></div><div></div><div><div><div><div><div>Location:
Abu Dhabi, Abu Dhabi, AE
</div></div></div></div><div><div><div><div>Business Unit: Defence
</div></div></div></div><div><div><div><div>Division: Defence Service Delivery
</div></div></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Get to know us</b></h2><h6 class="jobSectionHeader"><b>
Career in Systematic</b></h6>
<h6 class="jobSectionHeader"><b>Recruitment process</b></h6>
<h6 class="jobSectionHeader"><b>More than software</b></h6>
<h6 class="jobSectionHeader"><b>Our business</b></h6></div></div></div></div><p></p>

Data & Solutions Engineer

Durlston Partners

<div><div><div>AI - ML, Software Engineering</div>
<div>Up to $250,000 USD</div>
<div>Abu Dhabi, Dubai</div><p></p><div>
</div></div><div><div><div><p><b>AI Engineer &ndash; Prop Trading &ndash; UAE &ndash; Up to $250,000 USD total</b></p>
<p>Opportunities to do genuinely frontier AI research at a prop trading firm in the UAE are rare. Most firms with real research ambition keep their ML teams in New York, London, or Singapore. This is one of the few exceptions, and the pedigree behind it is exceptional.</p>
<p>The UAE is a central part of their future. The office is growing quickly and is already home to senior AI researchers, quant leads, and strategy leadership. The team is small by design with a clear and funded plan to scale significantly. The people joining now will shape the culture, the tooling, and the direction of the research programme. Alongside this, the firm has secured compute resources allowing them to do large-scale foundational model work.</p>
<p><b>Why you&rsquo;d want this role</b></p>
<ul><li>A rare opportunity to do frontier AI research within a live trading business, where your models feed real systems</li>
<li>Flat structure with direct exposure to senior leadership from day one</li>
<li>Access to serious compute infrastructure</li>
<li>Work across the full model lifecycle &mdash; training, evaluation, in-depth analysis, and innovation</li>
<li>A team assembled from some of the best minds in HFT and AI globally</li>
</ul><p><b>Why Abu Dhabi</b></p>
<ul><li>Consistently ranked among the safest and most liveable cities in the world</li>
<li>One of the fastest-growing hubs for buy-side finance and AI in the region</li>
<li>Significant tax advantages over London, New York, or Singapore</li>
<li>The most sought-after neighbourhoods are a 10&ndash;20 minute drive from the office &mdash; no packed commutes, no tube strikes, and a cab is around &pound;8 each way</li>
<li>Year-round sunshine and world-class infrastructure</li>
</ul><p><b>What you&rsquo;ll be doing</b></p>
<ul><li>Designing and building frameworks that underpin the firm&rsquo;s next-generation ML platforms and trading systems</li>
<li>Ensuring compatibility with modern cloud infrastructure, leading ML libraries, and state-of-the-art model architectures</li>
<li>Running large-scale training experiments and contributing to rigorous, in-depth model evaluation and analysis</li>
<li>Working closely with researchers and engineers across multiple offices on foundational model research spanning language, vision, multimodal, and structured data</li>
</ul><p><b>What you&rsquo;ll bring</b></p>
<ul><li>Proven, hands-on experience with large foundational models &mdash; training, evaluation, and analysis</li>
<li>Advanced Python development in a Linux environment</li>
<li>Strong grounding in deep learning, generative AI, and modern model architectures</li>
<li>Direct experience with multi-GPU training at scale</li>
<li>A track record building high-performance software with demonstrable results</li>
<li>Familiarity with parallel computing frameworks and performance optimisation</li>
Intellectual curiosity, a bias toward open-source tooling, and genuine interest in<li>ing ML to trading and research problems</li>
<li>A team-first mentality and the kind of work ethic that thrives in a high-trust, high-output environment</li>
</ul><p>We recognise that great engineers don&rsquo;t always fit neatly into a checklist. If this sounds like the kind of work you want to be doing, reach out directly, even if you&rsquo;re unsure whether you&rsquo;re the right fit. josh@durlstonpartners.com</p>
<p>If this role isn&rsquo;t right for you but you know someone who&rsquo;d be a great fit, we have a market-leading referral scheme in place to thank anyone who refers to a candidate who successfully passes probation.</p></div></div></div></div><div></div>

AI Engineer

Brain Co.

<div>
 <strong>
  About Brain Co.
  <br/>
  <br/>
 </strong>
 Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley&rsquo;s leading builders &mdash; including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world&rsquo;s most important institutions - delivering impact on real-world problems.Our progress so far
 <br/>
 <br/>
 <ul>
  <li>
   Automated construction permitting for a sovereign government &rarr; 80% faster, unlocking $375M+ in value
  </li>
  <li>
   Optimized supply chains for a leading global energy company &rarr; 30% lower cost, 99% reliability, preventing $100M+ in losses
  </li>
  <li>
   Streamlined hospital patient care across national health systems &rarr; 40% better outcomes, 80% less admin work
  </li>
  <li>
   Raised a $30M Series A from top investors
  </li>
  <li>
   Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
   <br/>
   <br/>
  </li>
 </ul>
 At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
  </li>
  <li>
   Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
  </li>
  <li>
   Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
  </li>
  <li>
   Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
  </li>
  <li>
   Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
  </li>
  <li>
   Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.
  </li>
  <li>
   Have at least a high level familiarity with the architecture and operation of large language models.
  </li>
  <li>
   Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
  </li>
  <li>
   Possess a strong foundation in data structures, algorithms, and software engineering principles.
  </li>
  <li>
   Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
  </li>
  <li>
   Can work collaboratively with cross-functional teams.
  </li>
  <li>
   Thrive in fast-paced environments where priorities or deadlines may compete.
  </li>
  <li>
   Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary plus equity
  </li>
  <li>
   Daily lunches
  </li>
  <li>
   Commuter benefits
  </li>
  <li>
   401(k)
  </li>
  <li>
   Medical, Dental and Vision
  </li>
  <li>
   Unlimited PTO
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ship quickly, iterate constantly and see your work deployed at global scale
  </li>
  <li>
   Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
  </li>
  <li>
   Accelerate your career with ownership based on impact, not tenure
  </li>
  <li>
   Earn competitive compensation + meaningful equity in a high-growth company
  </li>
  <li>
   Thrive in a culture built on speed, curiosity, and impact
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   This is a hybrid role that can be based in either our Abu Dhabi or Doha office
  </strong>
 </em>
</div>


AI/ML Engineer, Deployed

PLUS UAE

<p>Civil Engineer &ndash; Coating / Protective Coating</p><p>Vortexen Dynamics Industrial Solutions &ndash; UAE</p><p>Location: Abu Dhabi / Dubai, UAE<br/>Job Type: Full-Time</p><p>About Vortexen</p><p>Vortexen Dynamics Industrial Solutions is a UAE-based engineering company specializing in:</p><ul><li>Protective Coating</li><li>Industrial Coating</li><li>Corrosion Protection</li><li>Passive Fire Protection</li><li>Fire Stopping Solutions</li><li>Oil &amp; Gas Services</li><li>Marine &amp; Industrial Projects</li><li>Nuclear Industry Support Services</li></ul><p>We are expanding our UAE operations and seeking an experienced Civil Engineer &ndash; Coating / Protective Coating to support project execution, client management, technical sales, and business development activities.</p><p>Position Overview</p><p>The Civil Engineer &ndash; Coating / Protective Coating will be responsible for managing coating projects, supporting business development activities, coordinating with clients, preparing technical proposals, conducting site inspections, and ensuring project delivery in accordance with client and industry requirements.</p><p>Candidates with both technical and commercial experience will be highly preferred.</p><p>Key ResponsibilitiesProject Management &amp; Execution</p><ul><li>Manage coating and protective coating projects.</li><li>Conduct site inspections and project assessments.</li><li>Coordinate manpower, materials, and resources.</li><li>Monitor project progress and quality requirements.</li><li>Ensure compliance with project specifications and safety standards.</li><li>Prepare daily, weekly, and monthly project reports.</li></ul><p>Client Relationship Management</p><ul><li>Attend client meetings and technical discussions.</li><li>Coordinate with consultants, contractors, and project owners.</li><li>Handle client enquiries and project requirements.</li><li>Maintain strong professional relationships with existing clients.</li><li>Support client satisfaction and retention initiatives.</li></ul><p>Technical Sales &amp; Business Development</p><ul><li>Identify new project opportunities.</li><li>Participate in technical presentations and project discussions.</li><li>Support sales and proposal activities.</li><li>Prepare technical submissions and quotations.</li><li>Assist in tender participation and bid preparation.</li><li>Generate and follow up on project leads.</li></ul><p>Estimation &amp; Proposal Support</p><ul><li>Review project specifications and drawings.</li><li>Support BOQ preparation and quantity calculations.</li><li>Coordinate with procurement and estimation teams.</li><li>Prepare technical and commercial proposals.</li></ul><p>Site Coordination</p><ul><li>Coordinate site activities and subcontractors.</li><li>Monitor project quality and workmanship.</li><li>Ensure project completion within timelines.</li><li>Support testing, inspections, and client approvals.</li></ul><p>Mandatory RequirementsExperience</p><ul><li>Minimum 3&ndash;8 years of relevant experience in:</li><li>Protective Coating</li><li>Industrial Coating</li><li>Corrosion Protection</li><li>EPC Projects</li><li>Oil &amp; Gas Projects</li><li>Marine or Industrial Projects</li></ul><p>Client Handling Experience</p><p>Candidates must have experience in:</p><ul><li>Client Meetings</li><li>Project Coordination</li><li>Consultant Coordination</li><li>Contractor Coordination</li><li>Technical Presentations</li><li>Project Follow-Up</li></ul><p>Sales Experience (Advantage)</p><p>Experience in any of the following will be considered an added advantage:</p><ul><li>Technical Sales</li><li>Business Development</li><li>Tender Participation</li><li>Proposal Preparation</li><li>Client Acquisition</li><li>Project Lead Generation</li></ul><p>AI Tools Experience (Preferred)</p><p>Experience using AI tools for:</p><ul><li>Proposal Preparation</li><li>Technical Documentation</li><li>Research</li><li>Reporting</li><li>Productivity Improvement</li></ul><p>Examples:</p><ul><li>ChatGPT</li><li>Gemini</li><li>Claude</li><li>Perplexity</li><li>Microsoft Copilot</li></ul><p>Preferred Skills</p><ul><li>Protective Coating</li><li>Corrosion Protection</li><li>Project Management</li><li>Technical Sales</li><li>Client Management</li><li>Site Supervision</li><li>Estimation</li><li>Tendering</li><li>BOQ Review</li><li>Proposal Preparation</li><li>Communication Skills</li><li>Problem Solving</li></ul><p>Qualification</p><ul><li>Bachelor's Degree in Civil Engineering</li><li>Additional coating certifications will be an advantage</li><li>NACE, BGAS, FROSIO, SSPC or similar certifications are preferred</li></ul><p>What We Offer</p><ul><li>Attractive Salary Package</li><li>UAE Employment Visa</li><li>Medical Insurance</li><li>Career Growth Opportunities</li><li>Exposure to Major Industrial Projects</li><li>Opportunity to work with Oil &amp; Gas, Marine, Power, and Industrial Clients</li><li>Performance-Based Growth Opportunities</li></ul><p>How to Apply</p><p>Send your updated CV to:</p><p>hr@vortexen.com</p><p>Subject:</p><p>Application &ndash; Civil Engineer (Coating / Protective Coating)</p><p>Candidates with proven protective coating experience, client-facing experience, and technical sales exposure will be given preference.</p><p>Work Location: In person</p>

Civil Engineer – Coating / Protective Coating

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