devops engineer

project engineer

ai engineer

senior ai engineer

site engineer

ai developer

D4 Insight

<div>Location: Abu Dhabi 
Experience: 5+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

This role focuses on building scalable Agentic AI platforms for enterprise banking use cases. Engineers will develop orchestration frameworks, AI pipelines, and governance controls supporting production AI systems.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<ul><li>Build multi-agent AI workflows.</li>
<li>Develop LLM pipelines and prompt frameworks.</li>
<li>Implement AI safety, validation, and governance controls.</li>
<li>Support Azure AI integrations and orchestration layers.</li>
<li>Build scalable production AI solutions.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>Python</li>
<li>LangGraph</li>
<li>Agentic AI</li>
<li>Azure AI</li>
<li>Prompt Engineering</li>
<li>APIs &amp; Workflow Automation</li>
</ul>
 Apply Now: [email protected]</div>

AI Engineers – Agentic AI Platform

<div>
 
 Location:
 
 Abu Dhabi
 
 
 
 Experience:
 
 5+ Years
 
 
 
 Role Overview
 
 
 
 This role focuses on building scalable Agentic AI platforms for enterprise banking use cases. Engineers will develop orchestration frameworks, AI pipelines, and governance controls supporting production AI systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build multi-agent AI workflows.
 </li>
 <li>
 Develop LLM pipelines and prompt frameworks.
 </li>
 <li>
 Implement AI safety, validation, and governance controls.
 </li>
 <li>
 Support Azure AI integrations and orchestration layers.
 </li>
 <li>
 Build scalable production AI solutions.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 LangGraph
 </li>
 <li>
 Agentic AI
 </li>
 <li>
 Azure AI
 </li>
 <li>
 Prompt Engineering
 </li>
 <li>
 APIs &amp; Workflow Automation
 
 
 </li>
 </ul>
 📩
 
 Apply Now: careers@d4insight.com
 
</div>

Acenet consulting

<div><div>Experience: 5 to 8 years
 
Location: Abu Dhabi, Bengaluru, Gurgaon, Pune
 
Job code: 101532
 
Posted on: Jun 24, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
About the Role 
We are looking for a highly motivated AI/ML Engineer with hands-on experience in designing and developing intelligent AI-driven solutions. The ideal candidate should have strong expertise in Conversational AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), and Python-based application development. The role requires a curious mindset, strong analytical skills, and the ability to quickly learn and adapt to emerging AI technologies.
<div>Key Responsibilities: 
<ul><li>Design, develop, and deploy AI/ML solutions for enterprise applications.</li><li>Build and optimize Conversational AI solutions using Large Language Models (LLMs).</li><li>Create, test, and refine prompts to improve AI model performance and response quality.</li><li>Design and implement Retrieval-Augmented Generation (RAG) pipelines leveraging both structured and unstructured data sources.</li><li>Develop and maintain RESTful APIs to integrate AI services with business applications.</li><li>Perform web content extraction and data collection using screen-scraping/web-scraping techniques.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI solutions.</li><li>Troubleshoot, optimize, and improve existing AI models and workflows.</li><li>Stay updated with the latest advancements in AI/ML, Generative AI, and emerging technologies.</li></ul></div>
<div>Required Skills &amp; Qualifications: 
<ul><li>5&ndash;8 years of overall IT experience with at least 3&ndash;4 years of relevant experience in AI/ML development.</li><li>Strong proficiency in Python programming.</li></ul></div>
<div>Hands-on experience with: 
<ul><li>Conversational AI platforms and frameworks</li><li>Prompt Engineering / Prompt Creation</li><li>Retrieval-Augmented Generation (RAG)</li><li>Working with both structured and unstructured data sources</li><li>Experience in building and consuming REST APIs.</li><li>Experience with web page content extraction, web scraping, and screen-scraping techniques.</li><li>Strong problem-solving, debugging, and analytical skills.</li><li>Excellent communication and collaboration abilities.</li><li>Self-driven individual with strong curiosity, eagerness to learn, and a focus on delivering high-quality outcomes.</li></ul></div>
<div>Preferred Skills: 
<ul><li>Understanding of Agentic AI concepts and AI orchestration frameworks.</li><li>Exposure to multi-agent systems and workflow automation.</li><li>Experience with vector databases, embeddings, and knowledge retrieval systems.</li><li>with cloud platforms such as AWS, Azure, or Google Cloud.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

AI Engineer

Confidential Careers

<div>
 
 
 We&rsquo;re Hiring: AI Engineer | UAE N
 
 
 
 We are looking for a passionate and hands-on
 
 AI Engineer
 
 to join our growing team and help build cutting-edge AI-powered solutions.
 
 
 
 
 
 
 About the Role
 
 
 
 As an AI Engineer, you will be responsible for
 
 designing, building, and deploying AI-driven features and applications
 
 using large language models (LLMs) such as GPT and Claude. This is a highly practical role focused on
 
 developing real-world AI products
 
 , not research or model training.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Develop and deploy AI-powered applications from prototype to production
 </li>
 <li>
 Integrate LLMs (GPT, Claude) into business solutions using APIs
 </li>
 <li>
 Design prompts, workflows, and AI agents to improve output quality
 </li>
 <li>
 Work with Azure AI Foundry and modern AI platforms
 </li>
 <li>
 Continuously evaluate and adopt new AI tools and technologies
 </li>
 <li>
 Collaborate with product, design, and engineering teams
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Degree in Computer Science, AI, or related field
 </li>
 <li>
 Strong Python and software engineering skills
 </li>
 <li>
 Experience working with APIs and LLM integrations
 </li>
 <li>
 Hands-on experience with GPT, Claude, or similar models
 </li>
 <li>
 Familiarity with tools like Git and modern AI frameworks
 </li>
 <li>
 Ability to work in a fast-paced, evolving environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar frameworks
 </li>
 <li>
 Knowledge of RAG, vector databases, or Azure AI tools
 </li>
 <li>
 Exposure to open-source LLMs (Hugging Face, Ollama)
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

Atain

<div>
 
 We are seeking a highly skilled AI Engineer with strong expertise in Microsoft Dynamics integrations and Microsoft Copilot enablement within the Dynamics ecosystem. The ideal candidate will have hands-on experience designing AI-powered enterprise solutions, integrating Dynamics 365 with internal and external platforms, and configuring Copilot capabilities to enhance business operations and customer experiences.
 
 
 
 
 
 
 Candidates with prior experience in the airline or aviation industry will be strongly preferre
 
 
 
 
 
 d
 
 Key Responsibilitie
 
 
 
 
 <ul>
 <li>
 s:
 
 Design, develop, and maintain AI-driven solutions integrated with Microsoft Dynamics
 </li>
 <li>
 365Configure and enable Microsoft Copilot capabilities across the Dynamics ecosys
 </li>
 <li>
 temBuild and support integrations between Dynamics 365 and enterprise systems using APIs, middleware, and cloud servi
 </li>
 <li>
 cesCollaborate with business stakeholders to identify AI automation and productivity opportunit
 </li>
 <li>
 iesImplement conversational AI, intelligent workflows, and copilots for customer service, operations, and employee productiv
 </li>
 <li>
 ityWork with Azure AI services, OpenAI integrations, and Microsoft Power Platform technolog
 </li>
 <li>
 iesDevelop secure and scalable data pipelines for AI model consumption and enterprise report
 </li>
 <li>
 ingOptimize Dynamics workflows using AI-assisted automation and predictive capabilit
 </li>
 <li>
 iesSupport deployment, monitoring, and governance of AI-enabled enterprise applicati
 </li>
 <li>
 onsEnsure compliance with enterprise security, privacy, and governance standa
 </li>
 <li>
 rdsParticipate in architecture discussions, solution design, and technical documentat
 </li>
 </ul>
 
 
 
 ion
</div>

Microsoft Dynamics Consultant

Deeplight

<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 &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.
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.
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> 

Requirements 
We need you to have:<ul><li> 
An advanced proficiency in building highly responsive web applications using React, TypeScript, and modern CSS frameworks.</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>
The ability 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>
It would also be great if you have:<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> 

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>

Full Stack Developer

Contango

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced DevOps Engineer to make software delivery fast, repeatable, and safe. You&rsquo;ll build and operate CI/CD pipelines, infrastructure-as-code, container platforms, and observability &mdash; cutting lead time and toil while improving reliability and security.
 
 
 The discipline has shifted toward platform engineering: building internal developer platforms and golden paths so product teams can self-serve, with GitOps, policy-as-code, and supply-chain security built in. DevSecOps and FinOps are core parts of the job here, not afterthoughts.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and maintain CI/CD pipelines with automated testing, security scanning, and progressive delivery.
 </li>
 <li>
 Author infrastructure as code with Terraform/OpenTofu using reusable modules and clean environment promotion.
 </li>
 <li>
 Build and operate Kubernetes platforms &mdash; Helm/Kustomize packaging, autoscaling, and ingress.
 </li>
 <li>
 Implement GitOps with Argo CD or Flux so the desired state of infrastructure and apps lives in Git.
 </li>
 <li>
 Stand up observability: metrics, logs, traces, dashboards, SLOs, and alerting.
 </li>
 <li>
 Embed DevSecOps: SAST/DAST/SCA scanning, secrets management, image hardening, and software supply-chain security.
 </li>
 <li>
 Build internal developer platforms and golden paths that enable self-service for product teams.
 </li>
 <li>
 Manage cloud infrastructure with cost awareness, automate operational tasks, and improve DORA metrics; participate in on-call and run blameless post-mortems.
 
 
 </li>
 </ul>
 
 Candidate Requirements
 
 
 
 <ul>
 <li>
 Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
 </li>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.
 </li>
 <li>
 3+ years in DevOps, SRE, platform, or infrastructure engineering.
 </li>
 <li>
 Strong Linux fundamentals and scripting in Bash and Python (Go a plus).
 </li>
 <li>
 Production experience with a major cloud (AWS, Azure, or GCP).
 </li>
 <li>
 Hands-on experience running Docker and Kubernetes in production.
 </li>
 <li>
 Proficiency with infrastructure as code (Terraform/OpenTofu) and a CI/CD system (GitHub Actions, GitLab CI, or Jenkins).
 </li>
 <li>
 Solid grasp of networking, DNS, TLS, load balancing, and security fundamentals.
 </li>
 <li>
 Experience with monitoring/observability tooling and incident management.
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Operating ML/AI infrastructure (GPU clusters, model serving, MLOps/LLMOps pipelines).
 </li>
 <li>
 Multi-cloud or hybrid-cloud architecture and migrations.
 </li>
 <li>
 Chaos engineering and advanced reliability practices.
 </li>
 <li>
 eBPF-based tooling (Cilium, Pixie) and custom Kubernetes operators.
 </li>
 <li>
 Certifications such as CKA/CKAD, a cloud architect cert, or Terraform Associate.
 
 
 </li>
 </ul>
 
 Tools &amp; Technologies You&rsquo;ll Work With
 
 
 
 <ul>
 <li>
 Scripting: Bash, Python, Go; YAML, HCL.
 </li>
 <li>
 CI/CD: GitHub Actions, GitLab CI, Jenkins, Azure DevOps.
 </li>
 <li>
 IaC &amp; config: Terraform/OpenTofu, Pulumi, Ansible, Crossplane.
 </li>
 <li>
 Containers &amp; GitOps: Docker, Kubernetes, Helm, Kustomize, Argo CD, Flux, Argo Rollouts.
 </li>
 <li>
 Observability: Prometheus, Grafana, OpenTelemetry, Loki, ELK/OpenSearch, Datadog.
 </li>
 <li>
 DevSecOps: Trivy, Snyk, SonarQube, Checkov, OPA/Kyverno; Sigstore, SLSA, SBOMs.
 </li>
 <li>
 Secrets &amp; platform: HashiCorp Vault, External Secrets, OIDC workload identity; Backstage; AWS, Azure, GCP.
 </li>
 </ul>
</div>

DevOps Engineer (6 months contract)

Explore 113+ Ai developer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

113 ai developer jobs In Abu Dhabi

AI Engineers – Agentic AI Platform

AI Engineers – Agentic AI Platform

AI Engineer

Artificial Intelligence Engineer

Microsoft Dynamics Consultant

Full Stack Developer

DevOps Engineer (6 months contract)