devops engineer

ai engineer

project engineer

senior qa/qc engineer

backend engineer

devops engineer 6 months contract

Contango

<div>
 <strong>
  Contract duration:
 </strong>
 6 months (with a potential extension)
 <br/>
 <br/>
 <strong>
  Engagement Type:
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Start date:
 </strong>
 July 2026
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Abu Dhabi (on-site)
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Requirements
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Have
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Tools &amp; Technologies You&rsquo;ll Work With
  <br/>
  <br/>
 </strong>
 <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)

<div><p><b>Contract duration: </b>6 months (with a potential extension)<br>
<b>Engagement Type:</b> Full-time<br>
<b>Start date: </b>July 2026<br>
<b>Location:</b> Abu Dhabi (on-site)</p><p></p><p><b>
Role Overview</b></p><p>
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.</p><p>
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.</p><p><b><br>
Key Responsibilities</b></p><ul><li><p>
Design and maintain CI/CD pipelines with automated testing, security scanning, and progressive delivery.</p></li><li><p>
Author infrastructure as code with Terraform/OpenTofu using reusable modules and clean environment promotion.</p></li><li><p>
Build and operate Kubernetes platforms &mdash; Helm/Kustomize packaging, autoscaling, and ingress.</p></li><li><p>
Implement GitOps with Argo CD or Flux so the desired state of infrastructure and apps lives in Git.</p></li><li><p>
Stand up observability: metrics, logs, traces, dashboards, SLOs, and alerting.</p></li><li><p>
Embed DevSecOps: SAST/DAST/SCA scanning, secrets management, image hardening, and software supply-chain security.</p></li><li><p>
Build internal developer platforms and golden paths that enable self-service for product teams.</p></li><li><p>
Manage cloud infrastructure with cost awareness, automate operational tasks, and improve DORA metrics; participate in on-call and run blameless post-mortems.<br>
<br>
<b>Candidate Requirements</b></p></li><li><p>
Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.</p></li><li><p>
Prior experience at management consulting firms and/or Big Tech is an advantage.</p></li><li><p>
Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.</p></li><li><p>
3+ years in DevOps, SRE, platform, or infrastructure engineering.</p></li><li><p>
Strong Linux fundamentals and scripting in Bash and Python (Go a plus).</p></li><li><p>
Production experience with a major cloud (AWS, Azure, or GCP).</p></li><li><p>
Hands-on experience running Docker and Kubernetes in production.</p></li><li><p>
Proficiency with infrastructure as code (Terraform/OpenTofu) and a CI/CD system (GitHub Actions, GitLab CI, or Jenkins).</p></li><li><p>
Solid grasp of networking, DNS, TLS, load balancing, and security fundamentals.</p></li><li><p>
Experience with monitoring/observability tooling and incident management.</p></li></ul><p><br>
Nice to have:
</p><ul><li><p>Operating ML/AI infrastructure (GPU clusters, model serving, MLOps/LLMOps pipelines).</p></li><li><p>
Multi-cloud or hybrid-cloud architecture and migrations.</p></li><li><p>
Chaos engineering and advanced reliability practices.</p></li><li><p>
eBPF-based tooling (Cilium, Pixie) and custom Kubernetes operators.</p></li><li><p>
Certifications such as CKA/CKAD, a cloud architect cert, or Terraform Associate.</p></li></ul><p></p><p><b>
Tools &amp; Technologies You&rsquo;ll Work With:</b></p><ul><li><p>
Scripting: Bash, Python, Go; YAML, HCL.</p></li><li><p>
CI/CD: GitHub Actions, GitLab CI, Jenkins, Azure DevOps.</p></li><li><p>
IaC &amp; config: Terraform/OpenTofu, Pulumi, Ansible, Crossplane.</p></li><li><p>
Containers &amp; GitOps: Docker, Kubernetes, Helm, Kustomize, Argo CD, Flux, Argo Rollouts.</p></li><li><p>
Observability: Prometheus, Grafana, OpenTelemetry, Loki, ELK/OpenSearch, Datadog.</p></li><li><p>
DevSecOps: Trivy, Snyk, SonarQube, Checkov, OPA/Kyverno; Sigstore, SLSA, SBOMs.</p></li><li><p>
Secrets &amp; platform: HashiCorp Vault, External Secrets, OIDC workload identity; Backstage; AWS, Azure, GCP.</p></li></ul></div><p></p>

<div>
 <strong>
  Contract duration:
 </strong>
 6 months (with a potential extension)
 <br/>
 <br/>
 <strong>
  Engagement Type:
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Start date:
 </strong>
 July 2026
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Abu Dhabi (on-site)
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking an experienced Data Engineer to design, build, and operate scalable, secure, and reliable data pipelines and platforms that power analytics and AI solutions for companies in the UAE. The role is hands-on and client-facing, owning data solutions end-to-end &mdash; from architecture and development to production and hypercare &ndash; on cloud and on-premise.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT) that move data reliably from source systems to analytics and AI workloads.
  </li>
  <li>
   Build and optimize data models, databases, data warehouses, and lakehouse architectures (e.g., Databricks, Microsoft SQL Server) for performance and cost.
  </li>
  <li>
   Develop and tune distributed processing jobs using Spark/PySpark, including cluster management and optimization.
  </li>
  <li>
   Ensure data quality and data governance across the full data lifecycle (collection, access, storage, transformation, retention).
  </li>
  <li>
   Productionize pipelines with CI/CD, orchestration (e.g., Airflow, Azure Data Factory), monitoring, and alerting.
  </li>
  <li>
   Build the data foundation for analytics and AI use cases, collaborating closely with Data Scientists and AI Engineers (e.g., feature engineering, RAG data processing).
  </li>
  <li>
   Translate client business requirements into data architecture decisions and communicate trade-offs to technical and non-technical stakeholders.
  </li>
  <li>
   Maintain technical documentation, data lineage, and delivery artifacts across Design, Build, UAT, Production &amp; Hypercare.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Requirements
  <br/>
  <br/>
 </strong>
 <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>
   Strong programming in Python and SQL with solid software engineering fundamentals.
  </li>
  <li>
   Hands-on experience with Spark/PySpark and big-data processing at scale.
  </li>
  <li>
   Proven experience building production ETL/ELT pipelines.
  </li>
  <li>
   Practical knowledge of a major cloud data stack &mdash; Azure, AWS, or GCP.
  </li>
  <li>
   Experience with a modern data platform (Databricks, Snowflake, or equivalent).
  </li>
  <li>
   Familiarity with orchestration, CI/CD, and DevOps (e.g., Airflow, Git, Docker).
  </li>
  <li>
   Understanding of data warehousing concepts, data modeling, data governance, and security best practices.
  </li>
  <li>
   Experience with dashboard or frontend engineering is a plus.
  </li>
  <li>
   Strong collaboration and communication skills, with the ability to work directly with clients.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.
  </li>
  <li>
   3&ndash;6 years of experience in data engineering, building and operating data pipelines at scale.
  </li>
  <li>
   Preferred certifications: cloud data certifications such as Azure Data Engineer, AWS Data Engineer, or Databricks Data Engineer.
  </li>
 </ul>
</div>


Data Engineer (6 months contract)

M.A.H.Y Khoory & Co

<p><b>Job Title: Mechanical Engineer (Temporary &ndash; 6 Months)</b></p><p><b>Location:</b> Abudhabi, Kizad<br/><b>Contract Type:</b> Temporary (6 Months)</p><p>We will provide 1 year employment visa and medical Insurance</p><p>Job Purpose:</p><p>We are looking for a Mechanical Engineer to support engineering and design activities for ongoing projects. The candidate should have strong mechanical design knowledge with experience in creating technical drawings and coordinating with project requirements.</p><p>Key Responsibilities:</p><ul><li>Prepare and develop mechanical design drawings and layouts.</li><li>Create and review 2D and 3D models using design software.</li><li>Support engineering calculations and technical documentation.</li><li>Coordinate with internal departments to ensure project requirements are met.</li><li>Review design specifications and ensure compliance with project standards.</li><li>Assist in project execution and provide technical support when required.</li><li>Maintain design records and update engineering documents.</li><li>Support troubleshooting and continuous improvement activities.</li></ul><p>Requirements:</p><ul><li>Bachelor&rsquo;s Degree / B.Tech in Mechanical Engineering.</li><li>Experience in Oil &amp; Gas, heavy machinery, machine parts, construction design, or related industries (UAE / home country experience).</li><li>Strong experience in <b>3D AutoCAD design</b>.</li><li>Proficiency in <b>SolidWorks, Autodesk Inventor, AutoCAD, or similar design software</b>.</li><li>Knowledge of <b>MEP design concepts</b> will be an advantage.</li><li>Good communication skills in English.</li><li>Immediate availability preferred.</li></ul><p>Pay: AED5,000.00 - AED6,000.00 per month</p><p>Work Location: In person</p>

MEP and Fabrication Design Engineer ( Temporary)

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>15+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>12+ 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>03/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

<div><p><b>Contract duration: </b>6 months (with a potential extension)<br>
<b>Engagement Type:</b> Full-time<br>
<b>Start date: </b>July 2026<br>
<b>Location:</b> Abu Dhabi (on-site)</p><p></p><p><b>
Role Overview</b></p><p>
We are seeking an experienced Full-Stack Engineer to own features from database to interface &mdash; designing APIs and data models, building responsive frontends, and shipping production code with tests, observability, and CI/CD. We value breadth across the stack with enough depth to make sound architectural calls.</p><p>
The modern full-stack role increasingly includes integrating AI: calling LLM APIs, building RAG-backed and agentic features, and streaming model output into the UI. We work TypeScript-first, edge-aware, and type-safe end-to-end, with AI coding assistants as part of the everyday toolchain.</p><p><b><br>
Key Responsibilities</b></p><ul><li><p>
Build responsive, accessible interfaces with React/Next.js (or Vue/Svelte) and TypeScript.</p></li><li><p>
Develop and maintain backend services and APIs (REST, GraphQL, gRPC, or tRPC) with clean domain models.</p></li><li><p>
Design relational and non-relational data models, write performant queries, and manage migrations.</p></li><li><p>
Integrate AI features &mdash; call LLM APIs, build RAG and tool-using flows, and stream output into the UI.</p></li><li><p>
Implement authentication and authorization securely (OAuth/OIDC, JWT, managed auth providers).</p></li><li><p>
Write automated tests across the stack &mdash; unit, integration, and end-to-end.</p></li><li><p>
Own features end-to-end, from design through deployment, monitoring, and iteration.</p></li><li><p>
Optimize performance: rendering strategy (SSR/SSG/ISR/edge), caching, Core Web Vitals, and query tuning.</p></li></ul><p><b><br>
Candidate Requirements</b></p><ul><li><p>
Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.</p></li><li><p>
Prior experience at management consulting firms and/or Big Tech is an advantage.</p></li><li><p>
Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.</p></li><li><p>
3+ years building and shipping production web apps across frontend and backend.</p></li><li><p>
Strong JavaScript/TypeScript and a modern frontend framework (React/Next.js, Vue, or Svelte).</p></li><li><p>
Backend experience in at least one of Node.js, Python, Go, Java, or .NET, with solid API design.</p></li><li><p>
Strong SQL and database design (PostgreSQL/MySQL) plus a NoSQL or caching store.</p></li><li><p>
Experience with Git, CI/CD, testing, and deploying to a cloud or serverless platform.</p></li><li><p>
A solid understanding of web fundamentals: HTTP, REST, auth, caching, security, and performance.</p></li><li><p>
Experience integrating third-party and/or AI APIs into applications.</p></li></ul><p><br>
Nice to have:</p><ul><li><p>
AI-native product features (copilots, RAG search, agentic flows).</p></li><li><p>
Monorepo tooling and design systems.</p></li><li><p>
Real-time features (WebSockets, CRDTs, collaborative editing).</p></li><li><p>
Mobile or cross-platform experience (React Native, Expo).</p></li><li><p>
DevOps fluency &mdash; containers, IaC basics, owning your own deployments.</p></li></ul><p></p><p><b>
Tools &amp; Technologies You&rsquo;ll Work With:</b></p><ul><li><p>
Frontend: React, Next.js (App Router, RSC), Vue/Nuxt, Svelte/SvelteKit, Tailwind CSS, shadcn/ui.</p></li><li><p>
State &amp; data: TanStack Query, Zustand, Server Actions.</p></li><li><p>
Backend: Node.js, Bun; FastAPI/Django, Spring Boot, .NET, Go.</p></li><li><p>
APIs &amp; data: REST, GraphQL, tRPC, gRPC; PostgreSQL, MongoDB, Redis, pgvector; Prisma, Drizzle.</p></li><li><p>
AI integration: Vercel AI SDK, OpenAI/Anthropic/Gemini SDKs, RAG and embeddings.</p></li><li><p>
Auth &amp; testing: OAuth/OIDC, Auth.js, Clerk; Vitest, Jest, Playwright, Cypress.</p></li><li><p>
Build &amp; deploy: Vite, Turborepo/Nx, pnpm; Vercel, AWS/Azure/GCP, Docker, GitHub Actions; Sentry.</p></li></ul></div><p></p>

Full-Stack Engineer (front-end focused, 6 months contract)

<div>
 <strong>
  Contract duration:
 </strong>
 6 months (with a potential extension)
 <br/>
 <br/>
 <strong>
  Engagement Type:
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Start date:
 </strong>
 July 2026
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Abu Dhabi (on-site)
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.
  </li>
  <li>
   Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.
  </li>
  <li>
   Design and orchestrate agentic workflows for reasoning, planning, and task execution.
  </li>
  <li>
   Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.
  </li>
  <li>
   Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.
  </li>
  <li>
   Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.
  </li>
  <li>
   Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.
  </li>
  <li>
   Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.
  </li>
  <li>
   Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align &rarr; Build &rarr; UAT &rarr; Production &amp; Hypercare.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Requirements
  <br/>
  <br/>
 </strong>
 <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>
   Strong Python and solid software engineering fundamentals.
  </li>
  <li>
   Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.
  </li>
  <li>
   Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).
  </li>
  <li>
   Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).
  </li>
  <li>
   Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).
  </li>
  <li>
   Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).
  </li>
  <li>
   Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).
  </li>
  <li>
   Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  </li>
  <li>
   3&ndash;6 years of experience building and shipping AI/ML solutions into production.
  </li>
  <li>
   Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).
  </li>
 </ul>
</div>


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