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Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEFAR Labs is building FAR AI, a distributed inference network that turns idle GPU capacity into usable compute for developers, businesses, and AI products. Around this infrastructure, we build a wider ecosystem of products, payment tools, developer platforms, and internal systems that help prove and grow the network through real usage.We&rsquo;re looking for an AI Inference Infrastructure Engineer to build the core engine powering this system &mdash; from low-level runtime to distributed orchestration. This is a deeply technical role focused on performance, efficiency, and control over hardware.You will be working close to the metal, designing systems that operate at the limits of modern compute.03. WHO YOU ARE<ul><li>Systems Engineer: You have deep experience in systems programming and care about performance at every layer.</li><li>Performance Optimiser: You understand how to extract maximum efficiency from hardware &mdash; not just make things work.</li><li>Infrastructure Builder: You&rsquo;ve built or contributed to distributed systems where latency and throughput matter.</li><li>Low-Level Thinker: You&rsquo;re comfortable working close to hardware &mdash; memory, kernels, execution pipelines.</li><li>Pragmatic Engineer: You avoid unnecessary abstractions and focus on what actually improves performance.</li></ul>04. RESPONSIBILITIES<ul><li>Core Engine Development: Design and implement low-level runtime systems (Rust/C) to manage model execution, memory allocation, and request batching across distributed compute.</li><li>Hardware-Aware Optimisation: Develop and optimise tensor operations and custom kernels (CUDA, Triton) to maximise hardware utilisation.</li><li>Inference Performance: Implement advanced inference techniques such as continuous batching, speculative decoding, and paged attention &mdash; tailored to our architecture.</li><li>Decentralised Orchestration: Design routing and load balancing systems across geographically distributed nodes to ensure availability and efficiency.</li><li>Autonomous Infrastructure: Build fully automated deployment and recovery systems &mdash; ensuring zero manual intervention and self-healing network behaviour.</li></ul>05. REQUIREMENTS<ul><li>Strong experience in systems programming (Go, Rust, or C/C++).</li><li>Proven experience working with performance-critical systems.</li><li>Deep understanding of GPU programming (CUDA, ROCm) and hardware-level optimisation.</li><li>Strong knowledge of deep learning architectures (Transformers, Mamba) and tensor execution.</li><li>Experience building distributed systems with high concurrency and low latency.</li><li>Ability to work close to the hardware and optimise execution pipelines.</li><li>Strong problem-solving skills and attention to performance bottlenecks.</li></ul>06. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimisation</li><li>Competitive salary with performance-based incentives</li><li>24 days annual leave, plus public holidays</li><li>Health insurance</li><li>Modern office in Yas Creative Hub</li><li>Continuous learning through real-world problem solving &mdash; not just theory</li><li>The opportunity to shape what you&rsquo;re working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul>Work Location: In person

AI Inference Infrastructure Engineer

BRAIN

<div><h2 class="jobSectionHeader">About Brain Co.</h2>
Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. 
 
We are building AI applications for the world&rsquo;s most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. 
 
Our progress so far:<ul><li>
Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value</li><li>
Optimized supply chains for a leading global energy company 30% lower cost, 99% reliability, preventing $100M+ in losses</li><li>
Streamlined hospital patient care across national health systems 40% better outcomes, 80% less admin work</li></ul>
Company momentum:<ul><li>
Raised a $55M Series A from leading investors</li><li>
Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks</li></ul>
At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. 
 
We are looking for leaders who want to help bring new technology into institutions that impact millions of people.<div> 
</div><h2 class="jobSectionHeader">
What You&rsquo;ll Work On:</h2><ul><li>
Design and scale Kubernetes- and Terraform-based infrastructure across customer environments.</li><li>
Define standards for networking, security, CI/CD, and multi-region deployments.</li><li>
Build and maintain metrics, logging, tracing, dashboards, and SLOs.</li><li>
Diagnose and improve performance across distributed systems and AI workloads.</li><li>
Support high-performance inference, data pipelines, and large-scale backend services.</li><li>
Ensure systems scale reliably under fast-growing and unpredictable workloads.</li><li>
Partner with technical leaders on architecture and mentor engineers.</li></ul><h2 class="jobSectionHeader">
You Might Be a Great Fit If You&hellip;</h2><ul><li>
Have 5+ years building large-scale backend or infra systems.</li><li>
Know Kubernetes, Terraform, cloud networking, orchestration, and observability tools.</li><li>
Bring strong distributed systems, performance, and incident-response experience</li><li>
Work well with customers and teams to deliver reliable solutions.</li><li>
Thrive in high-agency environments and set engineering standards.</li><li>
Enjoy ambiguity, autonomy, and solving tough infra problems.</li></ul><h2 class="jobSectionHeader">
Why Join Us</h2><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</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Competitive salary plus equity</li><li>
Daily lunches</li><li>
Commuter benefits</li><li>
Unlimited PTO</li></ul></div>

AI Platform & Infrastructure Engineer, Deployed

Presight

<div>
 
 
 The Opportunity:
 
 
 
 Presight AI is seeking a motivated and skilled Senior Fullstack Engineer to join our dynamic team building end-to-end AI-powered data processing and analytics platform for the enterprise.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 In this role, you will help build the distributed backend services and rich UI components that turn raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products. These data products will serve as the foundation for high-performance classical BI analytics as well as modern agentic data engineering and analytics workflows. You may work across functional areas such as data profiling and quality, data governance, ETL pipelines, data warehouse capabilities, agentic data engineering, dashboards, spatial and geospatial analysis, and entity-centric analytics based on ontologies that model real-world objects, events, and relationships.
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Computer Science, Engineering or related field
 </li>
 <li>
 Strong computer science and basic algorithms knowledge.
 </li>
 <li>
 5+ years of experience in Java, Python building backend services &amp; distributed systems.
 </li>
 <li>
 5+ years of experience building modern frontends with React and TypeScript.
 </li>
 <li>
 Experience designing and building large scale distributed fault tolerant services.
 </li>
 <li>
 Experience building: search, recommendations, or other advanced analytics systems.
 </li>
 <li>
 Strong knowledge about programming principles (SOLID).
 </li>
 <li>
 Strong understanding of data analytics fundamentals and knowledge of basic SQL.
 </li>
 <li>
 Proficient with agentic development tools.
 </li>
 </ul>
 
 
 
 
 
 Good to have:
 
 
 <ul>
 <li>
 data engineer experience with Databricks, Snowflake or MS Fabric.
 </li>
 <li>
 Worked with Clickhouse on OLAP/DWH workloads.
 </li>
 <li>
 Experience with batch and stream processing big data using Spark, Trino, Flink, Kafka, etc&hellip;
 </li>
 <li>
 Practical experience processing unstructured data with modern models &ndash; OCR, STT, NER, etc...
 </li>
 <li>
 Implemented complex analytics with BI tools such as Tableau, PowerBI or built your own.
 </li>
 <li>
 AI models, python notebook is something you like to play with as well.
 </li>
 <li>
 Have great communication skills and passion in technology and driving thing forward!
 </li>
 </ul>
</div>

Senior Full Stack Engineer

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEWe&rsquo;re looking for Senior Backend Developer to build and scale the core systems behind our gaming platform and live services.This is a hands-on engineering role where you will design architecture, implement features, and work on systems that directly impact hundreds of thousands of users. You&rsquo;ll be working across distributed systems, real-time data, and high-load environments &mdash; in close collaboration with frontend, game, and DevOps teams.03. WHO YOU ARE<ul><li>Backend Engineer with Strong Fundamentals: You have solid experience building and maintaining scalable backend systems using Python and modern frameworks.</li><li>Systems Thinker: You understand distributed systems, event-driven architecture, and how to design for scalability, reliability, and performance.</li><li>Execution-Focused: You&rsquo;re comfortable owning features end-to-end &mdash; from design to deployment and optimisation.</li><li>Collaborative Builder: You work well across teams and can align with frontend, game, and infrastructure engineers to deliver cohesive systems.</li><li>Problem Solver: You enjoy tackling complex technical challenges in high-load environments and finding practical solutions.</li></ul>04. RESPONSIBILITIES<ul><li>Backend Development: Design, build, and maintain scalable server-side applications using Python and FastAPI.</li><li>Architecture &amp; Systems Design: Contribute to system architecture, ensuring high availability, performance, and scalability.</li><li>Data &amp; Storage: Design and optimise databases (SQL and NoSQL), ensuring efficiency and reliability.</li><li>Integrations &amp; APIs: Develop and maintain integrations with internal services, external APIs, and microservices.</li><li>Observability &amp; Reliability: Implement logging, monitoring, telemetry, and fault-tolerant systems (retries, error handling).</li><li>Collaboration: Work closely with frontend, game, and DevOps teams to ensure seamless system integration.</li><li>Engineering Process: Participate in code reviews, architecture discussions, and sprint planning.</li></ul>05. REQUIREMENTS<ul><li>4+ years of backend development experience (Python).</li><li>Strong experience with FastAPI or similar frameworks.</li><li>Proficiency in at least one additional language (Go, Node.js/TypeScript, Java) is a plus.</li><li>Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, DynamoDB).</li><li>Solid understanding of distributed systems and event-driven architectures.</li><li>Experience with message brokers (Kafka, RabbitMQ, SQS).</li><li>Hands-on experience with Docker, Kubernetes, CI/CD pipelines.</li><li>Strong understanding of RESTful API design.</li><li>Experience working in high-load or real-time systems is a plus.</li><li>Strong problem-solving skills and ability to work in fast-paced environments.</li><li>English level: Upper-Intermediate (B2+) or higher.</li></ul>06. WHAT YOU WILL LEARN<ul><li>Infrastructure: Deploying and securing distributed AI infrastructure at global scale.</li><li>Cryptography: Zero-knowledge dispute resolution and cryptographic resource binding.</li><li>Economics: Microeconomics of multi-sided marketplaces where hardware performance drives financial yield.</li></ul>07. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Hands-on work with high-load, distributed systems in a live product environment.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimisation.</li><li>Modern tech stack and technically challenging tasks.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you&rsquo;re working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul>Work Location: In person

Senior Backend Developer (Python)

Core42

<div>
 
 
 About Us
 
 
 
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning itself at the forefront of AI innovation in the Middle East and beyond.
 
 
 
 
 
 
 The Opportunity
 
 
 
 We are seeking a Principal Site Reliability Engineer to architect and lead the evolution of our globally distributed infrastructure supporting AI and private cloud workloads. This is a high-impact technical leadership role focused on building scalable, resilient, and self-healing platforms through advanced automation and AIOps.
 
 
 You will act as a technical authority, partnering with engineering, product, and leadership teams to drive autonomous service delivery, improve reliability, and enable large-scale AI innovation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Platform Architecture &amp; Strategy
 
 
 <ul>
 <li>
 Define and lead the long-term roadmap for infrastructure, CI/CD, and Kubernetes platforms
 </li>
 <li>
 Design scalable, distributed systems aligned with AI/ML and HPC workloads
 </li>
 <li>
 Establish standards for infrastructure-as-code and platform engineering
 </li>
 </ul>
 
 
 Automation &amp; AIOps
 
 
 <ul>
 <li>
 Design and implement AI-driven automation and self-healing systems
 </li>
 <li>
 Develop autonomous workflows for incident remediation and capacity optimisation
 </li>
 <li>
 Evolve observability into predictive AIOps capabilities
 </li>
 </ul>
 
 
 Kubernetes &amp; Infrastructure Engineering
 
 
 <ul>
 <li>
 Architect high-performance Kubernetes environments for multi-tenancy and GPU-intensive workloads
 </li>
 <li>
 Optimize infrastructure for performance, scalability, and cost efficiency
 </li>
 <li>
 Support advanced scheduling and orchestration frameworks for AI workloads
 </li>
 </ul>
 
 
 Observability &amp; Reliability
 
 
 <ul>
 <li>
 Build and enhance observability platforms integrating metrics, logs, and tracing
 </li>
 <li>
 Define SLOs/SLIs aligned with business outcomes
 </li>
 <li>
 Lead root cause analysis (RCA) and promote reliability best practices including error budgets
 </li>
 </ul>
 
 
 Leadership &amp; Technical Excellence
 
 
 <ul>
 <li>
 Act as the escalation point for complex system issues
 </li>
 <li>
 Mentor and develop SRE and DevOps teams, driving a culture of excellence
 </li>
 <li>
 Lead architectural reviews and contribute to internal Centers of Excellence
 </li>
 </ul>
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Partner with product and engineering teams to balance innovation with reliability
 </li>
 <li>
 Translate technical challenges into business impact for senior stakeholders
 </li>
 <li>
 Influence infrastructure and platform strategy across the organisation
 </li>
 </ul>
 
 
 Qualifications &amp; Experience
 
 
 
 
 Required
 
 
 <ul>
 <li>
 
 10+ years of experience
 
 in Site Reliability Engineering, Platform Engineering, or Systems Architecture
 </li>
 <li>
 Proven experience designing and operating
 
 large-scale distributed systems
 
 </li>
 <li>
 Deep expertise in
 
 Kubernetes environments
 
 (EKS, GKE, or bare metal), including GPU workloads
 </li>
 <li>
 Strong programming skills in
 
 Python, Go, or Rust
 
 </li>
 <li>
 Extensive experience with
 
 Terraform, Helm, and infrastructure-as-code practices
 
 </li>
 <li>
 Strong understanding of observability systems (metrics, logging, tracing)
 </li>
 </ul>
 
 
 Preferred
 
 
 <ul>
 <li>
 Experience with
 
 AI/ML infrastructure
 
 , including model serving and data pipelines
 </li>
 <li>
 Familiarity with scheduling frameworks (e.g., Ray, Kueue, Volcano)
 </li>
 <li>
 Experience building
 
 automation or AI-driven operational tools
 
 </li>
 <li>
 Certifications such as
 
 CKA, AWS/Azure Solutions Architect
 
 </li>
 <li>
 Experience influencing technical strategy across large organisations
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 A highly experienced and forward-thinking engineer with deep technical expertise and a passion for building resilient, scalable systems. You are a strong problem solver, an influential leader, and a strategic thinker who can drive innovation while maintaining operational excellence.
 
 
 
 
 
 
 
 
 
 What working at Core42 offers
 
 
 
 With a diverse team of 1,100+ employees from 68 nationalities, we foster an inclusive, innovative and collaborative environment. At Core42, we foster a culture grounded in trust, accountability and high performance. We are united by our values: Grit, where we overcome challenges with resilience and determination, Passion, which drives us to pursue excellence in everything we do, and Impact, as we aim to inspire progress and create meaningful change. Our team members thrive in an environment where each person&rsquo;s contributions propel us forward, and together, we commit to achieving extraordinary results.
 
 <ul>
 <li>
 Competitive Salary: We offer an attractive salary package based on your skills and experience
 </li>
 <li>
 Yearly Bonus: In recognition of your contributions, you will receive a performance-based annual bonus
 </li>
 <li>
 Exclusive Discount Cards: Access special benefits with Esaad and Fazaa cards, offering discounts across a wide range of services
 </li>
 <li>
 Premium Family Insurance: We provide comprehensive health coverage, including dental, vision and life insurance, ensuring the well-being of you and your family
 </li>
 <li>
 Learning &amp; Development: We offer access to top-tier learning platforms to help you grow in your career. Learn at your own pace with unlimited access to premium courses
 </li>
 </ul>
 
 
</div>

Principal Site Reliability Engineer

D4 Insight

<div>
 
 Location:
 
 Abu Dhabi
 
 
 
 Experience:
 
 5&ndash;8 Years
 
 
 
 Role Overview
 
 
 
 We are looking for skilled Site Reliability Engineer with experience in Wealth Management and Brokerage platforms to ensure system reliability, scalability, and operational excellence.
 
 
 The role combines software engineering, cloud infrastructure, application support, and FinTech platform operations.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Support wealth and brokerage applications.
 </li>
 <li>
 Manage cloud infrastructure on AWS and Azure.
 </li>
 <li>
 Build and maintain CI/CD pipelines.
 </li>
 <li>
 Support APIs, microservices, and distributed systems.
 </li>
 <li>
 Manage databases and application integrations.
 </li>
 <li>
 Drive incident and problem management activities.
 </li>
 <li>
 Monitor emerging FinTech technologies and innovations.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Wealth &amp; Brokerage Platforms
 </li>
 <li>
 AWS &amp; Azure
 </li>
 <li>
 Java &amp; .NET Core
 </li>
 <li>
 Docker &amp; Kubernetes
 </li>
 <li>
 CI/CD &amp; DevOps
 </li>
 <li>
 APIs &amp; Microservices
 </li>
 <li>
 Incident Management
 
 
 </li>
 </ul>
 📩
 
 Apply Now: careers@d4insight.com
 
</div>

Site Reliability Engineer (SRE) – Wealth & Brokerage

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 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.
 
 
 
 Key Responsibilities
 
 
 
 <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.
 
 
 </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>
 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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <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>

AI Engineer (6 months contract)

Explore 423+ Distributed systems engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.