project engineer

qa/qc engineer

site engineer

planning engineer

site engineer (civil)

site reliability engineer

Deeplight AI

<div>
 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.
 
 
 At DeepLight, we don't believe in "off-the-shelf" 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.
 
 
 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.
 
 
 
 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>
 
 Requirements
 
 
 
 We need you to have:
 
 
 <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>
 It would also be great if you:
 
 
 <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>
 
 Benefits
 
 
 
 
 The benefits you'll enjoy as part of this role include:
 
 
 
 <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>
 
 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.
 
 
 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.
 
 
 
 
 Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
 
 
 
 
 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.
 
</div>

DevOps Engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Platform Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 AI Platform Operations
 
 
 
 Provide day-to-day monitoring and operational support of Gernas, its dependent AI applications, deployed AI agents, agent runtime environments, AI gateways, and supporting Azure and AWS cloud services. Ensure continuous availability and consistent service performance across production environments, proactively identifying degradation signals before they become user-visible incidents. Maintain operational dashboards covering platform health, agent execution, LLM consumption, gateway throughput, and integration endpoints, and ensure that ownership of every production component is unambiguous and documented.
 
 
 
 Incident and Problem Management
 
 
 
 Lead L2 and L3 incident response across the Gernas platform and its surrounding AI products. Conduct structured root-cause analysis, drive service restoration within agreed P1&ndash;P4 service-level commitments, and coordinate major incidents involving multiple engineering, cloud, security, and vendor stakeholders. Maintain problem records for recurring or systemic issues, ensure that post-incident reviews are completed with clear corrective and preventive actions, and own the closure of those actions through to engineering remediation. Act as the bridge between the L1 AI Operations Centre and L3 engineering teams during complex incidents.
 
 
 
 AI Agent and Workflow Support
 
 
 
 Troubleshoot the behaviour of single-agent and multi-agent workflows, including agent orchestration, tool invocation, skill execution, prompt construction, memory and context handling, planning loops, and inter-agent coordination. Diagnose failures across Microsoft Agent Framework and LangGraph execution, including state-graph traversal, conditional routing, tool-call mismatches, retries, and human-in-the-loop checkpoints. Investigate integrations with enterprise systems, MCP-exposed tools, and downstream APIs, and work with engineering teams to harden agent designs where production data reveals weaknesses.
 
 
 
 LLM and Model Service Support
 
 
 
 Support the operational stability of the model-serving layer across Azure OpenAI PTU deployments, AWS Bedrock, and Core42 Compass. Monitor and troubleshoot PTU capacity utilisation, token consumption patterns, quota and throttling behaviour, latency profiles, content filtering outcomes, and model endpoint availability. Coordinate with the AI Hub team on routing decisions between frontier and in-region models, assess cost and capacity headroom, and manage capacity escalations and vendor tickets where service degradation originates upstream.
 
 
 
 AKS and Runtime Support
 
 
 
 Provide hands-on operational support of the Azure Kubernetes Service estate hosting Gernas agent runtimes and supporting services. Troubleshoot pod, deployment, service, ingress, namespace, secret, and configuration issues; investigate autoscaling behaviour and resource utilisation anomalies; and analyse container logs, network connectivity, and runtime failures. Work closely with the Cloud Platform team on cluster-level concerns, image security, node health, and platform upgrades, ensuring AKS-hosted workloads remain stable through patching and lifecycle events.
 
 
 
 API, AI Gateway and MCP Support
 
 
 
 Operate and troubleshoot the Azure API Management layer that serves as both the enterprise API gateway and the MCP Gateway for Gernas. Diagnose issues with API policies, authentication, authorisation, routing, rate limiting, quotas, caching, and backend connectivity. Provide deep support for MCP servers, MCP tools, and the MCP Gateway pattern &mdash; including tool discovery, schema validation, protocol-level failures, and the coordination between MCP clients hosted in agents and the underlying tool endpoints. Ensure that the gateway remains a secure, observable, and policy-compliant control plane for all AI traffic.
 
 
 
 Observability and Performance Management
 
 
 
 Use Comet Opik as the primary observability surface for agent and LLM execution, working with traces, prompts, agent execution paths, latency breakdowns, token usage, errors, and model quality indicators. Build and maintain operational dashboards, alert rules, and correlation views that combine Opik telemetry with Azure Monitor, Application Insights, Log Analytics, and CloudWatch data. Lead performance optimisation initiatives where trace evidence shows hotspots in prompts, tools, retrieval steps, or model selection, and ensure that observability coverage keeps pace with platform evolution.
 
 
 
 Voice AI Support
 
 
 
 Support the production operation of ElevenLabs-based voice AI capabilities, including speech generation, voice-agent connectivity, real-time audio session handling, and API consumption patterns. Investigate latency, audio quality, dropped sessions, and integration failures across the voice channel and its dependent platforms, and coordinate with ElevenLabs and integration partners on upstream issues.
 
 
 
 Release and Change Management
 
 
 
 Validate releases prior to and immediately following deployment, exercising production verification scripts, smoke tests, and rollback procedures. Maintain release readiness through clear configuration management, environment parity checks, and pre-deployment risk reviews. Operate within FAB's change-management framework, ensuring that all production changes including patches, upgrades, configuration adjustments, and model or prompt rotations pass through the appropriate change controls and post-implementation review.
 
 
 
 Security, Risk and Compliance
 
 
 
 Uphold the security and compliance posture of Gernas and dependent AI products. Manage identity and access controls, secrets, certificates, and managed identities across the platform; coordinate vulnerability remediation and patching cycles; and maintain audit evidence for internal audit, supervisory reviews, and external assurance. Operate responsible-AI controls including content filtering, PII and PCI detection, data egress controls, and model-access governance and ensure that secure integration patterns are followed across every API, MCP tool, and external dependency.
 
 
 
 Service Improvement and Automation
 
 
 
 Drive continuous reduction of manual support effort through automation of routine operational tasks, self-healing patterns, monitoring enhancements, and proactive remediation. Maintain a current and high-quality library of support playbooks, runbooks, knowledge articles, and standard operating procedures. Identify and lead service-improvement initiatives that lift platform reliability metrics, reduce incident volume, and shorten mean time to resolution.
 
 
 
 Stakeholder and Vendor Coordination
 
 
 
 Operate as a credible technical counterpart to business units, engineering teams, the Cloud Platform team, Cybersecurity, Architecture, AI Governance, and Service Management. Lead vendor engagement with Microsoft, AWS, Core42, ElevenLabs, and other technology partners on incidents, capacity reviews, roadmap items, and product issues, ensuring that vendor accountability is exercised and that escalations are progressed effectively.
 
 
 
 On-Call and Operational Readiness
 
 
 
 Participate in a 24&times;7 support model, including a structured on-call rotation, major incident leadership, disaster-recovery exercises, business-continuity testing, and production-readiness assessments for new agents, models, and integrations entering the platform. Treat operational readiness as a release gate rather than an afterthought, and ensure that nothing reaches production without explicit operational sign-off.
 
 
 
 
 
 
 TECHNICAL SKILLS: minimum 5-7 yrs of working experience mandatory
 
 
 
 
 Cloud AI Services
 
 
 
 
 
 
 
 Agentic AI Frameworks
 
 
 
 
 LLM Operations
 
 
 
 
 Kubernetes and Containers
 
 
 
 
 API and MCP Gateway
 
 
 
 
 Observability
 
 
 
 
 DevOps and Automation
 
 
 
 
 Voice AI
 
 
 
 
 Security and Governance
 
 
 
 
 Service Management
 
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 Education
 
 
 
 Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a closely related discipline. A relevant master's degree in AI, Machine Learning, or Cloud Computing will be considered an advantage.
 
 
 
 Professional Experience
 
 
 
 Approximately 5&ndash;7 years of overall IT experience, with significant time spent in cloud application support, platform engineering, DevOps, Site Reliability Engineering, production operations, or senior technical support roles. Of this, a minimum of 2&ndash;3 years of relevant experience supporting AI, machine learning, Generative AI, conversational AI, cloud-native platforms, or other data-intensive enterprise systems is required.
 
 
 
 Banking and Regulated Environment
 
 
 
 
 
 
 
 Technical Troubleshooting
 
 
 
 
 
 
 
 Operational Skills
 
 
 
 
 
 
 
 Communication and Leadership
 
 
 
 
 
 
 
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Platform Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 
 Overview
 
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 The Opportunity
 
 
 
 As a Senior DevOps Engineer in our team, you will be responsible for working collaboratively with software engineering to deploy and operate our systems. You will help automate and streamline our operations and processes, building and maintaining tools for deployment, monitoring and operations.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities:
 
 
 Functional
 
 
 <ul>
 <li>
 Responsible for growing and developing an incredible team of talented and motivated engineers with high expectations around individual ownership and impact
 </li>
 <li>
 Maintain scalable and robust CI/CD framework.
 </li>
 <li>
 Ensure issues are tracked appropriately in the ticket management system.
 </li>
 <li>
 Work with engineers and QA to ensure that issues are resolved, and fixes deployed, in a timely fashion.
 </li>
 <li>
 Maintain suitable deployment-specific support documentation.
 </li>
 <li>
 Impart knowledge of best practices and IT operations in an always-up, always-available service.
 </li>
 <li>
 Transform ambiguity into clarity.
 </li>
 <li>
 Collaborate in a multicultural and diverse environment that expands to include various geographic locations.
 </li>
 <li>
 Convey and receive information in a clear, credible, and consistent manner.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
 </li>
 <li>
 5+years&rsquo; experience in DevOps
 </li>
 <li>
 Experience in developing Continuous Integration/ Continuous Delivery pipelines (CI/ CD).
 </li>
 <li>
 Experience in building health and performance monitoring systems.
 </li>
 <li>
 Strong background in Linux/Unix Administration.
 </li>
 <li>
 Knowledge of one cloud platform such as AWS, Azure or GCP.
 </li>
 <li>
 Solid hands-on knowledge of Dockers and Container Orchestration tools such Kubernetes or Dockerswarm.
 </li>
 <li>
 Proficient in scripting, and Git workflows.
 </li>
 <li>
 Strong experience with SQL and MySQL.
 </li>
 <li>
 Experience deploying, operating, monitoring, and troubleshooting Java applications
 </li>
 <li>
 Hands-on experience running GPU workloads, including model deployment, inference serving, resource scheduling, performance monitoring, GPU utilization optimization and troubleshooting
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 Working knowledge of OAuth 2.0, OpenID/OpenID-Connect, SAML 2.0, Kerberos, LDAP.
 </li>
 <li>
 Experience with RedHat OpenShift stack
 </li>
 <li>
 A highly detail-oriented and methodical approach to problem solving.
 </li>
 <li>
 Great verbal and written communication skills
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.presight.ai Job Function: DevOps &amp; QA Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Senior Devops Engineer

WINTER REFRIGERATION Industrial Equipment Manufacturing LLC

PLC/Instrumentation EngineerWINTER Refrigeration is seeking a qualified and motivated PLC/Instrumentation Engineer to join our growing team in Dubai. The ideal candidate will be responsible for designing, maintaining, and optimizing industrial control systems and instrumentation to ensure operational efficiency, safety, and reliability in our production environment.Responsibilities:<ul><li>System Design &amp; Programming: Develop, test, and troubleshoot PLC programs (Ladder Logic, Structured Text, etc.) and HMI/SCADA interfaces.</li><li>Instrumentation: Select, calibrate, install, and maintain field instruments, including sensors, transmitters, flow meters, and control valves.</li><li>Maintenance &amp; Troubleshooting: Diagnose and resolve hardware and software faults in real-time to minimize equipment downtime.</li><li>Project Management: Support facility upgrades and capital projects from conceptual design through to commissioning and documentation.</li><li>Safety &amp; Compliance: Ensure all control systems comply with industry standards (e.g., ISA, IEC) and internal safety protocols.</li><li>Documentation: Maintain up-to-date documentation, including P&amp;IDs, loop diagrams, and wiring schematics.</li></ul>Requirements:<ul><li>Education: Bachelor&rsquo;s Degree (Electrical Engineer or Electronics Engineer with sound knowledge of Industrial Equipment)</li><li>Experience: Minimum 2&ndash;3 years of professional experience in a similar role within an industrial setting.</li><li>PLC Expertise: Strong proficiency in Siemens TIA Portal, S7 series PLCs, and Ladder Logic programming.</li><li>Technical Skills:</li><li>Solid knowledge of HMI programming and DCS.</li><li>In-depth understanding of Siemens Automation products and industrial communication protocols.</li><li>Advanced knowledge of relevant engineering software tools.</li><li>Ability to read/interpret complex electrical drawings and AutoCAD schematics.</li></ul>Interested candidates, please apply via official site https://winter.ae/careers/plc-instrumentation-engineer-2/ or share cv to hr.admin@winter.aeApplication Question(s):<ul><li>What is your salary expectation?</li></ul>Work Location: In person

PLC/Instrumentation Engineer

ALBA CORP

<div>
 We are looking for an
 
 AI Engineer
 
 to design, build, and own production-grade systems powered by modern AI development tools, automation platforms, databases, and intelligent agents.
 
 
 This role is suited to an experienced, hands-on developer who thinks in databases, APIs, workflows, and scalable system architecture&mdash;not isolated prototypes. You should be comfortable moving quickly with tools such as Claude Code and Codex while maintaining reliability, security, and clean technical standards. If you have shipped systems that teams or customers actively depend on, keep reading.
 
 
 
 Key Responsibilities
 
 
 
 
 AI Systems &amp; Database Architecture
 
 
 
 <ul>
 <li>
 Design, implement, and maintain scalable database architectures using Supabase and MongoDB.
 </li>
 <li>
 Deploy and manage AI agents, including Openclaw, Hermes, and Cowork, across multiple operational use cases.
 </li>
 <li>
 Build production-ready applications and internal systems using modern AI-assisted development workflows.
 </li>
 <li>
 Monitor system reliability, troubleshoot technical issues, and improve performance as usage grows.
 
 
 </li>
 </ul>
 
 Automation &amp; Systems Integration
 
 
 
 <ul>
 <li>
 Build, maintain, and scale workflow automations using n8n, Make, and Zapier.
 </li>
 <li>
 Integrate third-party APIs and connect systems across business functions from end to end.
 </li>
 <li>
 Develop reliable data flows between databases, AI agents, CRMs, ERPs, and external platforms.
 </li>
 <li>
 Create clear technical documentation for workflows, integrations, and system dependencies.
 
 
 </li>
 </ul>
 
 Business Platforms &amp; Technical Delivery
 
 
 
 <ul>
 <li>
 Customize and extend CRM and ERP platforms to support real operational requirements.
 </li>
 <li>
 Translate business challenges into practical, maintainable technical solutions.
 </li>
 <li>
 Collaborate with internal stakeholders to define requirements, test implementations, and deliver improvements.
 </li>
 <li>
 Take ownership of systems from initial architecture and development through deployment and ongoing support.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Several years of hands-on experience building and supporting production systems&mdash;not only demonstrations or prototypes.
 </li>
 <li>
 Proven experience creating workflow automations with n8n, Make, or Zapier.
 </li>
 <li>
 Strong proficiency with modern AI coding tools such as Claude Code and Codex.
 </li>
 <li>
 Solid database architecture experience using Supabase and MongoDB.
 </li>
 <li>
 Practical experience deploying AI agents such as Openclaw, Hermes, or Cowork.
 </li>
 <li>
 Strong API development and third-party integration capabilities.
 </li>
 <li>
 A portfolio of shipped systems that you can explain and demonstrate during the interview process.
 
 
 </li>
 </ul>
 Experience with
 
 Python, Odoo, ReactJS, Node.js, Vite, Tailwind CSS, or hands-on CRM and ERP customization
 
 will be an advantage.
 
 
 
 Salary &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: AED 6,000&ndash;8,000 per month, based on experience and demonstrated technical ability
 </li>
 <li>
 Work visa sponsorship
 </li>
 <li>
 Medical insurance
 </li>
 <li>
 30 days of paid annual leave
 </li>
 <li>
 Access to modern AI development tools and technical platforms
 </li>
 <li>
 Opportunities for technical training and continuous learning
 </li>
 <li>
 A fast-moving, collaborative environment with ownership of meaningful projects
 </li>
 <li>
 Company-provided equipment required for the role
 
 
 </li>
 </ul>
 
 Work Arrangement
 
 
 
 
 Type:
 
 Full-time, on-site position
 
 
 Remote or hybrid work is not available. Candidates must be based in or willing to relocate to the UAE.
 
 
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Build AI systems and automations that are used in real business operations.
 </li>
 <li>
 Work with modern AI agents, databases, development tools, and automation platforms.
 </li>
 <li>
 Own projects from architecture and development through deployment and optimization.
 </li>
 <li>
 Grow within a team that values technical initiative, rapid execution, and practical problem-solving.
 
 
 </li>
 </ul>
 
 Join us and code the future&mdash;apply now to make your mark.
 
</div>

AI Engineer (Vibe Coder)

Watt Utilities

AI Software EngineerAbout The RoleWe are looking for an AI Software Engineer to help us build the next generation of AI-powered products, features and services.This is not a Machine Learning or Data Science role. Instead, we&rsquo;re looking for an experienced software engineer who has been heavily involved in designing and building production applications using modern AI technologies. You should understand today&rsquo;s AI ecosystem, know how to evaluate emerging AI tools, and be able to identify where AI can create genuine business value.You&rsquo;ll work across our products and platforms, building enterprise-grade web applications while driving the adoption of AI across customer-facing products, internal tools and engineering workflows.Location: On-site in DubaiRequired Technical Skills● Must have 5+ years of professional software development experience● Strong experience with TypeScript, React and Node.js● Deep understanding of Next.js (App Router, Server Actions, Middleware and Routing)● Strong experience with PostgreSQL (or equivalent), including schema design and query optimisation● Must have experience designing and building production AI-powered applications● Strong understanding of Large Language Models (LLMs) and how to integrate them into software products● Experience working with leading AI providers such as OpenAI, Anthropic, Google Gemini or similar● Experience with prompt engineering, structured outputs and tool/function calling● Experience building AI agents, assistants and intelligent automation workflows● Experience implementing Retrieval-Augmented Generation (RAG)● Experience working with embeddings, vector databases and semantic search● Experience building AI applications using modern orchestration frameworks and SDKs (e.g. Vercel AI SDK, LangChain, LangGraph, LlamaIndex or similar)● Familiarity with the Model Context Protocol (MCP) and modern AI tooling ecosystem● Understanding of AI evaluation, latency optimisation, observability and cost optimisation● Experience implementing AI safety, validation and guardrails in production systemsWhat You Will Do● Design, build and ship AI-powered products, features and services● Architect scalable software systems that effectively integrate AI capabilities● Evaluate emerging AI technologies and recommend practical adoption across the business● Build AI agents, assistants and intelligent automation workflows● Develop backend services that support AI-powered experiences● Implement semantic search, RAG pipelines and knowledge retrieval systems where appropriate● Optimise AI applications for quality, performance, reliability and cost● Integrate third-party APIs, AI providers and external services● Collaborate with product managers, designers and stakeholders to solve business problems using AI● Contribute to architecture discussions, code reviews and engineering best practices● Help define engineering standards and reusable patterns for AI development● Stay up to date with the rapidly evolving AI landscape and share knowledge with the wider teamNice To Have● Experience building AI-first SaaS products● Experience with multi-agent architectures● Experience deploying or fine-tuning open-source models● Experience with cloud AI platforms such as AWS Bedrock, Azure AI or Google Vertex AI● Experience with multimodal AI (vision, speech or document understanding)● Experience with AI evaluation frameworks and observability platforms● Contributions to AI open-source projects or personal AI productsAbout You● Passionate about AI and excited by the pace of innovation in the field● You can work autonomously with minimal supervision, taking ownership of tasks from planning to completion● You have a proactive, can-do approach to problem-solving and are willing to tackle unfamiliar challenges● You are comfortable meeting deadlines and handling multiple priorities in a fast-paced environment● You are a team player with a collaborative mindset, open to feedback, and willing to help colleagues● You follow established coding standards and write clean, maintainable, well-documented code● You participate actively in code reviews (giving and receiving feedback)● You take responsibility for testing and quality assurance of your own workJob Type: Full-timePay: AED10,000.00 - AED15,000.00 per monthWork Location: In person

AI Software Engineer

MBS AMER CENTER

civil engineer in dubai who has G+12 and another G+4Civil Engineer Available in DubaiExperienced Civil Engineer with Dubai Municipality approvals for G+12 and G+4 building projects. Skilled in project execution, site supervision, quality control, quantity estimation, subcontractor coordination, and compliance with Dubai Municipality regulations and standards. Experience includes residential, commercial, and high-rise building construction projects. G+12 and G+4 classifications are commonly associated with Dubai Municipality-approved engineering roles and building projects.✔ Dubai Municipality Approved Engineer (G+12 &amp; G+4)✔ Site Execution &amp; Project Management✔ Quantity Surveying &amp; Cost Control✔ Quality Assurance / Quality Control✔ AutoCAD, MS Project, Primavera✔ Authority Approvals &amp; CoordinationCurrently seeking new opportunities in Dubai and across the UAE. Open to positions as Civil Engineer, Site Engineer, Project Engineer, or Construction Engineer.Send Your CV to amira@millennium-bs.aeWork Location: In person

Civil Engineer

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