Qureos Mentor

Discovered MENA

<div>
 
 
 AI Software Engineer
 
 
 
 
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Package:
 
 30,000 - 35,000 AED per month TAX FREE plus benefits
 
 
 
 Duration:
 
 Permanent
 
 
 
 
 
 I am currently partnered with a brilliant company committed to delivering cutting-edge solutions and enhancing user experiences for various sectors. Their mission is to empower teams with innovative technologies that optimise operations and facilitate efficient issue resolution.
 
 
 
 
 
 We are currently seeking a highly skilled and enthusiastic AI Software Engineer with expertise in Python &amp; AI to join the team in Abu Dhabi.
 
 
 
 
 
 Responsibilities:
 
 
 Conduct in-depth research, design, and development of advanced cellular communications solutions
 
 
 Design and implement systems based on cutting-edge methodologies such as Domain-Driven Design, Reactive Architecture, and Actor model.
 
 
 Develop and maintain CI/CD pipelines, perform comprehensive unit tests, integration tests, and end-to-end tests.
 
 
 Collaborate closely with a team of experienced developers, system architects, and product managers to deliver top-quality technical solutions.
 
 
 Contribute to crucial technological and architectural decisions.
 
 
 Work collaboratively in agile, multidisciplinary teams, embracing Agile principles, methodologies, and tools.
 
 
 
 
 
 Requirements:
 
 
 Expertise in Python with a strong grasp of asynchronous programming and concurrency patterns.
 
 
 Experience building high-performance APIs, ideally using modern Python frameworks.
 
 
 Skilled in integrating and orchestrating LLM-based systems, including function-calling and local model setup.
 
 
 Practical understanding of prompt design and AI-driven workflow optimisation.
 
 
 Hands-on experience with retrieval-augmented generation (RAG) concepts&mdash;such as text segmentation, embeddings, and vector databases (e.g., Milvus, FAISS, Pinecone).
 
 
 Proficient in data handling and validation using Python data frameworks and schema-based approaches.
 
 
 Comfortable working with real-time communication protocols (e.g., WebSockets, Server-Sent Events, gRPC, REST).
 
 
 Knowledge of containerization and deployment pipelines using Docker and CI/CD tools.
 
 
 Experience writing automated tests and maintaining high code quality with Python testing frameworks.
 
 
 Understanding of message-driven architectures and queueing systems (e.g., RabbitMQ).
 
 
 Awareness of GPU-accelerated environments and performance tuning for compute-intensive tasks.
 
 
 Strong command of the English language, both spoken and written (upper-intermediate level).
 
</div>

AI Software Engineer

<div>
 
 
 
 Applied AI Engineer &ndash; Abu Dhabi
 
 
 
 
 
 
 Discover the Opportunity
 
 
 
 
 We&rsquo;re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.
 
 
 
 
 
 This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.
 
 
 
 
 
 This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at an enterprise level.
 
 
 
 
 
 
 
 Discover the Role
 
 
 
 
 As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.
 
 
 
 
 
 You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.
 
 
 
 
 
 
 
 Discover the Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
 </li>
 <li>
 Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
 </li>
 <li>
 Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
 </li>
 <li>
 Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
 </li>
 <li>
 Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
 </li>
 <li>
 Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
 </li>
 <li>
 Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
 </li>
 <li>
 Collaborate with cross-functional teams to deliver reliable, high-performance AI systems
 </li>
 </ul>
 
 
 
 
 
 
 Discover the Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in
 
 Applied AI
 
 , machine learning engineering, or software engineering roles
 </li>
 <li>
 Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation
 </li>
 <li>
 Proven experience building and deploying AI/ML systems in production environments
 </li>
 <li>
 Hands-on experience working with large language models and deploying LLM-powered applications
 </li>
 <li>
 Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
 </li>
 <li>
 Experience designing scalable, reliable, and high-performance systems
 </li>
 </ul>
 
 
 
 
 
 
 Preferred experience:
 
 
 
 <ul>
 <li>
 Experience building RAG systems end-to-end, including retrieval pipelines and vector search
 </li>
 <li>
 Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar
 </li>
 <li>
 Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection
 </li>
 <li>
 Exposure to conversational AI systems, including speech or real-time interaction pipelines
 </li>
 <li>
 Experience working with modern AI inference infrastructure and deployment environments
 </li>
 </ul>
 
 
 
</div>

Applied AI Engineer

<div>
 
 
 Senior Manager of AI Safety and Validation Engineering
 
 
 
 
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Duration:
 
 Permanent
 
 
 
 Package:
 
 45k-50k AED per month, TAX FREE + Relocation &amp; benefits
 
 
 
 
 
 Discover the opportunity
 
 
 We are hiring a Senior Manager of AI Safety and Validation Engineering to join a leading bank in their Group Business Services division. This is primarily a technical practitioner role focused on the design and implementation of technical measures to ensure the reliability and security of advanced AI solutions. You will bridge the gap between cutting edge AI development and rigorous risk standards while serving as a technical liaison to second line risk functions
 
 
 
 
 
 Discover the role
 
 
 As a Senior Manager of AI Safety and Validation Engineering, you will lead the creation of evaluation frameworks for both predictive Machine Learning and Generative AI. You will be responsible for defining standardised monitoring protocols and automated guardrails. Working as an individual contributor, you will provide hands on execution support to various product teams to ensure all deployments meet high performance and compliance standards.
 
 
 
 
 
 Discover the responsibilities
 
 <ul>
 <li>
 Define standardised evaluation rubrics and scoring systems for system performance and safety across various AI archetypes including RAG and agentic workflows
 </li>
 <li>
 Design comprehensive test cases covering deterministic logic and adversarial scenarios to stress test AI outputs
 </li>
 <li>
 Implement automated evaluators such as LLM-as-a-judge and targeted small language models Deploy explainability techniques like Shapley Values and Integrated Gradients to ensure model transparency and unfair bias detection in lending and fraud models
 </li>
 <li>
 Partner with platform teams to build telemetry pipelines that capture embeddings and inputs while maintaining strict data privacy standards
 </li>
 <li>
 Establish golden signals such as hallucination rates and semantic similarity to trigger automated circuit breakers when performance thresholds are breached
 </li>
 <li>
 Analyse guardrail violations to identify emerging attack patterns and integrate human-in-the-loop corrections into model refinement cycles
 </li>
 <li>
 Translate technical telemetry into actionable model health reports for second-line risk functions Work with specialist software vendors to bring advanced safety capabilities into the internal AI ecosystem
 </li>
 </ul>
 
 
 
 
 Discover the requirements
 
 <ul>
 <li>
 7+ years of experience in Machine Learning Engineering, Data Science, or AI Safety and Testing
 </li>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Information Technology, or a related engineering discipline
 </li>
 <li>
 Expert proficiency in Python and deep knowledge of statistical testing and XAI libraries
 </li>
 <li>
 Hands-on experience with LLM evaluation frameworks such as Ragas, Giskard, or Arize
 </li>
 <li>
 Proven ability to design observability and monitoring systems at scale
 </li>
 <li>
 Prior experience in the financial sector is highly preferred
 </li>
 <li>
 Strong leadership skills with the ability to act as a technical mentor across cross-functional initiatives
 </li>
 </ul>
 
 
</div>

Senior Manager of AI Safety and Validation Engineering

<div>
 
 📍
 
 Location:
 
 Dubai, UAE (Hybrid)
 
 
 
 
 
 
 
 
 🏢
 
 Office Location
 
 : Jumeirah Lakes Towers (JLT
 
 )
 
 
 
 
 
 
 
 Role Overv
 
 i
 
 ew
 
 
 
 We are hiring a Senior Full-Stack Engineer to lead end-to-end feature delivery and build scalable systems. The ideal candidate is fast, product-oriented, and experienced with AI-assisted development workflows.
 
 
 
 
 
 This role goes beyond feature development and involves working closely with customers, product leaders, and stakeholders to understand business challenges and translate them into practical software solutions. You will play a key role in technical discovery, solution design, and implementation planning, helping shape both the product roadmap and the technical approach while ensuring solutions deliver real business value.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop backend services (APIs, authentication, database layers)
 </li>
 <li>
 Build and integrate frontend components with backend systems
 </li>
 <li>
 Design scalable and modular architecture
 </li>
 <li>
 Integrate third-party services (Firebase, REST APIs)
 </li>
 <li>
 Optimize performance, reliability, and maintainability
 </li>
 <li>
 Collaborate directly with product leadership
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of hands-on development experience
 </li>
 <li>
 Strong experience in Node.js or PHP
 </li>
 <li>
 Solid understanding of API design and database modeling
 </li>
 <li>
 Experience building and shipping real products
 </li>
 <li>
 Familiarity with AI-assisted coding tools (Copilot, Cursor, etc.)
 </li>
 <li>
 Ability to deliver features quickly and independently
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with Flutter or React
 </li>
 <li>
 Experience with cloud services and DevOps basics
 </li>
 <li>
 Startup or fast-paced environment experience
 </li>
 </ul>
 
 
</div>

Senior Full Stack Engineer

<div>
 
 📍
 
 Location:
 
 Muscat, Oman (relocation support will be provided)
 
 
 💼
 
 Job Title:
 
 Senior Machine Learning Engineer
 
 
 
 
 
 
 We are looking for an ML powerhouse to join us in beautiful Muscat! If you&rsquo;re a Senior ML Engineer who loves getting under the hood of high-performance computing (HPC) and hardware acceleration to solve massive business challenges, we want to chat. ?
 
 
 
 
 
 ?
 
 This isn't just about building models; it&rsquo;s about leading the charge on design, optimization, and deployment at scale. You&rsquo;ll be our go-to expert for turning complex problems into sleek, AI-driven realit
 
 
 
 
 
 
 y.
 
 What you&rsquo;ll be doi
 
 
 <ul>
 <li>
 
 ng:Building the Engi
 
 ne: Architecting production-ready ML pipelines from scratch&mdash;from training all the way to deployme
 </li>
 <li>
 
 nt.Pushing Limi
 
 ts: Optimizing workloads using CUDA, cuDNN, and Nvidia TensorRT to make sure everything runs lightning-fa
 </li>
 <li>
 
 st.The Heavy Lifti
 
 ng: Doing the deep-dive data analysis and feature engineering needed for top-tier datase
 </li>
 <li>
 
 ts.Leading the Pa
 
 ck: Mentoring junior engineers, heading up code reviews, and making sure we&rsquo;re always following best practic
 </li>
 <li>
 
 es.Collaborati
 
 ng: Working closely with stakeholders to turn business needs into technical wi
 </li>
 <li>
 
 ns.Staying Sha
 
 rp: Keeping us on the cutting edge by staying obsessed with the latest AI/ML advancemen
 </li>
 </ul>
 
 
 
 
 ts.
 
 
 🔍 We're looking for someone w
 
 
 <ul>
 <li>
 ith:5+ years of hands-on experience developing and deploying ML mod
 </li>
 <li>
 els.A pro with Python, TensorFlow, and PyTo
 </li>
 <li>
 rch.Experience with tools like MLflow or Kubef
 </li>
 <li>
 low.Advanced skills in Docker, REST APIs, and
 </li>
 <li>
 Git.Someone who knows their way around Nvidia Nsight, PyTorch Profiler, or Tensorboard for optimizat
 </li>
 <li>
 ion.Experience deploying AI solutions on AWS, GCP, or Az
 </li>
 <li>
 ure.Strong leadership vibes and the ability to explain "techy" things to non-techy peo
 </li>
 <li>
 ple.A Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, or a related fi
 </li>
 </ul>
 
 
 
 eld.
</div>

Senior Machine Learning Engineer

<div>
 
 
 Principal Engineer &ndash; Applied AI
 
 
 
 Abu Dhabi - Onsite
 
 
 80,000 - 100,000 AED p/m
 
 
 
 
 
 
 About the Project
 
 
 
 
 
 
 Our client is building an elite, highly specialized AI engineering organization designed to put modern technology, data, and frontier AI at the center of large-scale, enterprise, and public-sector operations. Their work spans frontier model evaluation and deployment, sovereign inference and serving infrastructure, retrieval and agentic systems, robust evaluation pipelines, and applied products built for mission-critical dependency.
 
 
 The remit is unusually broad, the timelines are short, and the stakes are exceptionally high. What they ship has to operate flawlessly inside strict data sovereignty, security, and accountability constraints. They are small, high-caliber, decisive, and unwilling to accept the gap that usually exists between AI demos and AI in production.
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 I am looking for a Principal Engineer to be one of the deepest technical voices inside our organization. You will set technical direction across multiple teams, lead the architectural decisions that no single team can own on its own, and raise the technical ceiling of the engineering organization through the work you do and the engineers you grow.
 
 
 This is a senior, highly technical individual contributor role. You will not run a line organization, but your influence will come from the quality of your technical judgment, the clarity of the systems you help design, and the decisions you unblock.
 
 
 Crucially, this role requires a strong technical backbone. You will be in the rooms where the hardest build/buy/partner calls are made, and where the question is whether a solution will hold up in production for high-stakes workloads. You are expected to bring answers grounded in systems, constraints, and data&mdash;meaning you have the confidence to push back firmly against unrealistic requests from stakeholders. When a requirement cannot be met, you will use data to explain
 
 why
 
 it isn't feasible, and immediately pivot to offer viable, high-quality alternative architectures to achieve the objective.
 
 
 
 
 
 
 Key Highlights of the Role
 
 
 <ul>
 <li>
 Deeply Hands-On &amp; Current: This is not an advisory role from afar. You will actively read code, run experiments, write prototypes that settle architectural debates, and produce reference implementations that other teams build from.
 </li>
 <li>
 Data-Driven Pushback: You will act as the empirical voice of reason, using concrete benchmarks, metrics, and system constraints to push back firmly against unfeasible or high-risk stakeholder demands.
 </li>
 <li>
 Alternative Architecture Design: When you say "no" to a request, you will immediately deliver alternative technical solutions, ensuring the organization navigates around constraints without losing momentum.
 </li>
 <li>
 Cross-Team Technical Direction: You will set the architecture, interfaces, deployment patterns, and standards for systems that span multiple engineering teams, ensuring they hold up under production pressures.
 </li>
 <li>
 Navigating AI Realities: You will design specifically for the complexities of operating AI in production, successfully managing non-determinism, model drift, latency, and cost at scale.
 </li>
 <li>
 Multiplying the Engineering Bar: You will raise the organization's technical ceiling by mentoring senior and staff engineers, pulling the strongest technical thinking out of teams, and setting an incredibly high bar in technical reviews.
 </li>
 <li>
 Strategic, High-Stakes Impact: You will represent engineering realities to leadership and external partners, making technical trade-offs legible to non-technical leaders while adhering to strict compliance, data privacy, and hosting constraints.
 </li>
 </ul>
 
 
 
 
 
 Core Qualifications
 
 
 <ul>
 <li>
 12+ years of software engineering experience, with a proven track record of operating at a staff or principal level.
 </li>
 <li>
 Current, active technical depth&mdash;you still write and read code, ensuring you are highly credible to a room of strong engineers.
 </li>
 <li>
 Demonstrated ability to handle multi-stakeholder environments, with clear evidence of using data-driven assertiveness to steer product and business requirements.
 </li>
 <li>
 Strong working knowledge of the current AI technology landscape (frontier models, RAG and retrieval architectures, agent frameworks, and inference infrastructure).
 </li>
 <li>
 Exceptional written and verbal communication&mdash;able to author complex architecture documents and represent technical truths directly to executive stakeholders.
 </li>
 </ul>
 
 
 
</div>

Principal Engineer - Applied AI

<div>
 
 
 Account Manager
 
 
 
 Dubai
 
 
 AED 22,500 per month
 
 
 
 
 
 We are hiring an
 
 Account Manager
 
 to join a globally recognised business specialising in immersive and experiential technology. With a strong international presence, this organisation partners with major brands, retailers, and entertainment venues to deliver innovative, interactive experiences.
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 As an
 
 Account Manager
 
 , you will be a key member of the Client Services team, taking ownership of projects from initial brief through to final delivery.
 
 
 
 
 
 This is
 
 not a business development role
 
 . Instead, you will focus on managing and delivering approved opportunities, acting as the day-to-day client lead across pitching, contracting, and execution.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Manage projects end-to-end, from brief through to delivery
 </li>
 <li>
 Act as the main point of contact for clients during pitch and delivery phases
 </li>
 <li>
 Support and execute pitch responses for inbound opportunities
 </li>
 <li>
 Prepare and submit RFI/RFP responses with accuracy and attention to detail
 </li>
 <li>
 Maintain client portals, vendor registrations, and documentation libraries
 </li>
 <li>
 Coordinate with internal creative and technical teams to meet deadlines
 </li>
 <li>
 Ensure projects are delivered in line with expectations and agreed frameworks
 </li>
 <li>
 Escalate any commercial or scope changes where required
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 3&ndash;5 years&rsquo; experience in Account Management or Client Services
 </li>
 <li>
 Experience within a project-based environment (creative, experiential, digital, or production)
 </li>
 <li>
 Exposure to the GCC market (Arabic is advantageous)
 </li>
 <li>
 Experience working on RFI/RFP processes and pitch support
 </li>
 <li>
 Strong PowerPoint and Microsoft Office skills (Figma is a plus)
 </li>
 <li>
 Highly organised, detail-driven, and comfortable working under pressure
 </li>
 <li>
 A proactive, process-led mindset with an interest in immersive or emerging technologies
 </li>
 </ul>
 
 
</div>

Account Manager

Join Discovered MENA and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.