civil engineer

project engineer

planning engineer

safety engineer

technical engineer

ai engineer

Etera Technologies FZCO

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.</li>
<li>4&ndash;5 years of experience building production-grade AI/ML or software systems.</li>
<li>Strong programming experience with Python, Node.js and Bun.</li>
<li>Experience with at least one additional backend language or runtime (e.g., TypeScript, Go, Java).</li>
<li>Hands-on experience with LLMs, NLP, or modern transformer architectures.</li>
<li>Experience building or integrating chat interfaces or conversational AI systems.</li>
<li>Dubai-based candidates preferred.</li>
</ul><h3 class="jobSectionHeader">Preferred qualifications:</h3><ul>
<li>5+ years of experience with data structures, algorithms, and scalable system design.</li>
<li>Experience architecting AI/ML flows, multi-agent systems, or agentic reasoning pipelines.</li>
<li>Experience with RAG, CAG, or hybrid retrieval-based reasoning.</li>
<li>Experience with vector databases (Qdrant, Pinecone, Weaviate, Redis) and large-scale embedding systems.</li>
<li>Experience with ML Ops workflows &mdash; monitoring, versioning, model lifecycle, automated evaluation.</li>
<li>Experience training or fine-tuning LLMs or domain-specific models.</li>
<li>Experience with multimodal models (vision + language).</li>
<li>Deep expertise in prompt engineering, context engineering, evaluation strategies, safety guardrails, and fallback design.</li>
<li>Understanding of Responsible AI, hallucination prevention, and high-reliability conversational systems.</li>
<li>Track record of using AI coding tools (Cursor, OpenAI, Claude, etc.) to accelerate development.</li>
<li>Experience in travel tech, hospitality, e-commerce, or search-heavy consumer products.</li>
</ul><h3 class="jobSectionHeader">
About the Role</h3>
Etera is building the future of intelligent travel &mdash; where conversation becomes the interface, planning becomes seamless, and discovery feels personal and intuitive.
As a dedicated AI Engineer, you&rsquo;ll architect and implement the intelligence systems that shape Etera&rsquo;s conversational experiences: multi-agent reasoning flows, retrieval pipelines, memory layers, safety mechanisms, and ML Ops foundations. You&rsquo;ll work with autonomy across model selection, infrastructure choices, and workflow design &mdash; in a model-agnostic environment that uses whichever tools deliver the best outcomes (OpenAI, Anthropic, or open-source).
This role requires both depth and creativity. You&rsquo;ll push the boundaries of retrieval-augmented reasoning, multimodal intelligence, context optimization, and real-time conversational UX. You&rsquo;ll collaborate closely with backend, product, design, and search teams to create flows that feel natural, intelligent, and deeply human.
The space is expanding rapidly, and you will help define the intelligence layer powering a new era of AI-driven travel.<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Architect and scale Etera&rsquo;s multi-agent intelligence system for real-time recommendations, decision-making, and bookings.</li>
<li>Build advanced RAG/CAG frameworks, retrieval pipelines, and context-aware reasoning flows optimized for chat.</li>
<li>Develop the knowledge architecture for global venues &mdash; embeddings, vector search, ranking, and personalization.</li>
<li>Apply expert-level prompt engineering, context engineering, safety techniques, and evaluation methods across all conversational flows.</li>
<li>Train or fine-tune models where appropriate and design automated evaluation systems (LLM-as-judge, regression detection, human-in-the-loop).</li>
<li>Implement safety layers to prevent incorrect details, wrong availability, or booking errors &mdash; including deterministic fallback flows and confidence scoring.</li>
<li>Collaborate with backend, product, and UX teams to design intuitive conversational flows, API contracts, and human-like interactions.</li>
<li>Build and maintain end-to-end ML Ops pipelines &mdash; ingestion, monitoring, versioning, automated evaluation, and CI/CD for agentic systems.</li>
<li>Establish engineering best practices and contribute to the long-term architecture of Etera&rsquo;s AI systems. 
</li></ul><h3 class="jobSectionHeader">Why Etera</h3><ul>
<li>You&rsquo;ll own the intelligence layer of a product built to transform how people explore the world.</li>
<li>You&rsquo;ll define the architecture for AI reasoning, retrieval, safety, and multi-agent orchestration.</li>
<li>You&rsquo;ll work with a team that values craftsmanship, creativity, and building technology that feels human.</li>
<li>You&rsquo;ll help shape a new category of AI-powered travel discovery.</li></ul></div>

AI Engineer

Transguard Workforce Solutions

<div>
 
 
 Transguard Workforce Solutions
 
 is the UAE&rsquo;s leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.
 
 
 We are currently recruiting a
 
 AI Engineer
 
 for our Government client, based out of their office in
 
 Dubai
 
 ,
 
 UAE.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 
 We are seeking a highly skilled AI Engineer with expertise in Large Language Models (LLMs), Machine Learning, and Cloud Deployment. This role involves building and deploying AI solutions, integrating APIs, and optimizing performance for large-scale systems.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 
 Develop and Fine-Tune AI Models:
 
 Build and optimize Large Language Models (LLMs) for tasks like handwriting recognition and image processing.
 </li>
 <li>
 
 Cloud &amp; On-Prem Deployment:
 
 Deploy AI models on
 
 AWS Cloud (UAE Region)
 
 and local servers, ensuring scalability and security.
 </li>
 <li>
 
 API Integration:
 
 Connect AI models with internal and external systems using RESTful APIs for seamless functionality.
 </li>
 <li>
 
 Performance Optimization:
 
 Monitor, troubleshoot, and enhance model accuracy, speed, and reliability in production environments.
 </li>
 <li>
 
 Infrastructure Design:
 
 Architect high-speed network setups and AI communication frameworks to support large-scale AI applications.
 </li>
 <li>
 
 Data Management:
 
 Handle data preprocessing, cleaning, and augmentation for training models; manage local LLMs and databases.
 </li>
 <li>
 
 Collaboration &amp; Innovation:
 
 Work closely with cross-functional teams to integrate AI solutions into existing platforms and research next-gen AI technologies.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s/Master&rsquo;s
 
 in Computer Science, AI, or related field.
 </li>
 <li>
 Minimum
 
 4 years
 
 of hands on experience with
 
 LLMs
 
 and
 
 AI frameworks.
 
 </li>
 <li>
 Proficiency in
 
 Python
 
 ,
 
 TensorFlow
 
 ,
 
 PyTorch
 
 ,
 
 Node.js
 
 , and
 
 .NET
 
 .
 </li>
 <li>
 Strong knowledge of
 
 AWS Cloud deployment
 
 and
 
 API integration
 
 .
 </li>
 <li>
 Experience with
 
 LangChain
 
 ,
 
 OpenAI
 
 , and open-source AI tools.
 </li>
 <li>
 Portfolio showcasing previous AI/LLM projects is a strong plus.
 </li>
 </ul>
 
 
</div>

ClearVUE.Business

<div>
 
 
 Hi, we're ClearVUE Dubai
 
 
 
 
 
 
 ClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.
 
 
 
 
 
 Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.
 
 
 
 
 
 ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 Are you an AI engineer with a passion for data, innovation, and driving real-world impact? We&rsquo;re looking for a skilled and motivated AI Engineer to join our data team in Dubai. In this role, you&rsquo;ll work on impactful projects in energy and sustainability, applying advanced machine learning techniques, AI tools, and large language models (LLMs) to solve complex, real-world challenges and help shape the future of intelligent solutions.
 
 
 
 
 
 
 What exactly will you do?
 
 
 
 
 
 <ul>
 <li>
 Collaborate with our team to analyse and interpret data from diverse sources, including sensors, APIs, and customer platforms.
 </li>
 <li>
 Design, develop, and deploy machine learning models that predict trends, improve efficiency, and generate actionable insights from energy-related data.
 </li>
 <li>
 Build and integrate AI/ML solutions into production environments, ensuring scalability and reliability in real-world applications.
 </li>
 <li>
 Work with modern AI tools such as
 
 OpenAI, Hugging Face, and LangChain
 
 , applying
 
 Retrieval-Augmented Generation (RAG)
 
 and
 
 Model Context Protocol (MCP)
 
 techniques to enhance data relevance, context awareness, and explainability in AI-driven products.
 </li>
 <li>
 Stay current with the latest advancements in AI, data science, and MLOps tools, and bring innovative ideas to the team.
 </li>
 <li>
 Participate in brainstorming sessions, code reviews, and planning meetings; your technical perspective and creativity will help shape our solutions.
 </li>
 <li>
 Contribute to dashboards, reports, and prototypes that translate complex data into clear, actionable insights for clients and internal teams.
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 3 &ndash; 5 years of experience working as an
 
 AI Engineer
 
 or similar role.
 </li>
 <li>
 Bachelor&rsquo;s Degree in
 
 Computer Science, Data Science, Engineering, Maths, Physics
 
 , or a related field.
 </li>
 <li>
 Hands-on experience with
 
 Python
 
 ,
 
 data analysis
 
 , or
 
 machine learning
 
 .
 </li>
 <li>
 Solid understanding of AI/ML concepts (e.g., building and evaluating models, using Jupyter notebooks, working with LLM APIs).
 </li>
 <li>
 Proficiency in data manipulation using tools such as
 
 pandas
 
 ,
 
 NumPy
 
 , and
 
 SQL
 
 .
 </li>
 <li>
 Experience with
 
 scikit-learn
 
 ,
 
 TensorFlow
 
 , or
 
 PyTorch
 
 , and familiarity with LLM frameworks such as
 
 OpenAI API
 
 or
 
 LangChain
 
 .
 </li>
 <li>
 Excellent communication skills; you can clearly explain technical concepts to both technical and non-technical audiences
 </li>
 <li>
 A proactive team player with a growth mindset, eager to learn, share knowledge, and contribute to meaningful projects
 </li>
 </ul>
 
 
 
 
 
 Nice to Have (but not expected)
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in related field.
 </li>
 <li>
 Experience implementing
 
 RAG pipelines
 
 or
 
 MCP-based integrations
 
 to connect AI models with live enterprise data sources.
 </li>
 <li>
 Knowledge of time series data or experience working with energy, IoT, or sustainability projects.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We&rsquo;ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today&rsquo;s energy landscape.
 
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 
 
 
 
 💎
 
 Compensation Package:
 
 We offer a
 
 monthly base salary of 16,000 AED
 
 , plus
 
 comprehensive medical insurance.
 
 
 
 🌍
 
 Purpose-Driven Impact:
 
 Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 
 
 🚀
 
 Ongoing Support and Development:
 
 Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 
 
 📈
 
 Clear Path to Advancement:
 
 We believe in nurturing our own; promotions from within are our specialty.
 
 
 
 
 
 
 GPG is an equal opportunity employer and applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
 
 
</div>

OneBullEx

<div>OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers real-time trading performance&mdash;even under extreme market volatility&mdash;powered by advanced automation and AI-driven tools, including our 300 SPARTANS trading bots. With cutting-edge machine learning, a user-first design, and transparent risk management, we are on a mission to redefine how traders navigate the fast-moving world of digital assets.

Job Overview

We are seeking a Senior AI Engineer, Quantitative Strategies to help pioneer a next-generation, self-evolving AI pipeline for trading strategy creation. This role goes beyond traditional engineering&mdash;you will architect an autonomous system that can generate, test, and refine its own strategies using the latest in large language models (LLMs) such as Gemini, ChatGPT, and Claude. If you are excited by the idea of making AI a true creative partner in quantitative trading, this is your chance to help shape the future of the industry.

Key Responsibilities
<ul>
<li>Architect from the ground up an autonomous strategy generation and evaluation pipeline, making key technical decisions that will define its future</li>
<li>Integrate and fine-tune cutting-edge LLMs to generate novel, testable trading hypotheses</li>
<li>Build closed-loop feedback systems to automate backtesting, analyse performance, and iteratively improve AI-generated strategies</li>
<li>Act as a bridge between quantitative research and AI engineering, working closely with traders and analysts to translate market insights into machine-executable strategies</li>
<li>Ensure scalability, performance, and robustness of all deployed systems</li>
</ul>
Candidate Requirements
<ul>
<li>Advanced degree (Master's or Ph.D.) in Financial Engineering, Computer Science, Industrial Engineering, or a related quantitative field</li>
<li>3+ years of hands-on experience in quantitative or software engineering roles, ideally within trading, fintech, or financial markets</li>
<li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (PyTorch, TensorFlow, or JAX)</li>
<li>Solid knowledge of deep learning, reinforcement learning, and optimisation techniques</li>
<li>Experience with LLM APIs, prompt engineering, and preferably fine-tuning</li>
<li>Strong software engineering fundamentals, including Git, testing, and deployment workflows</li>
<li>Deep understanding of financial markets, statistical analysis, and strategy development principles</li>
</ul>
 Preferred Qualifications
<ul>
<li>Proven track record of developing and executing trading strategies in live markets</li>
<li>Recognition in quantitative competitions (e.g., Kaggle, Quantopian)</li>
<li>GitHub or portfolio demonstrating complex, data-driven projects</li>
<li>Experience with reinforcement learning or other adaptive systems</li>
<li>A strong intellectual curiosity and drive to push technological boundaries</li>
</ul>
Why Join OneBullEx?
<ul>
<li>Early Impact &ndash; Be part of the founding team shaping a revolutionary AI-driven trading ecosystem</li>
<li>Innovation at Scale &ndash; Work with cutting-edge AI, LLMs, and financial technology in a high-growth startup</li>
<li>Global Ambition &ndash; Contribute to a platform with plans for rapid international expansion</li>
<li>Competitive Package &ndash; Attractive salary, performance-based incentives, and relocation support to Dubai</li></ul></div>

Senior AI Engineer, Quantitative Strategies

VALTRANS TRANSPORTATION SYSTEMS & SERVICES

Requirements:<ul><li>Strong experience coding in Python (backend/data/ML/AI systems).</li><li>Proven track record in AI infrastructure and cloud deployment.</li><li>Experience building production ML/AI systems with frameworks (e.g., PyTorch, TensorFlow, Hugging Face).</li><li>Understanding of agentic frameworks (e.g., LangChain, LlamaIndex, or equivalents) and orchestration tools.</li><li>Experience with data processing frameworks and pipelines (Airflow, Prefect, Spark, etc.).</li><li>Knowledge of vector databases and retrieval systems (e.g., Pinecone, Weaviate, Milvus, FAISS).</li><li>Strong background in system design and architecture for high-scale AI services.</li></ul>Preferred Qualifications:<ul><li>Experience with speech-to-text, NLP, and voice AI for customer interaction.</li><li>Contributions to open-source AI/ML frameworks.</li></ul>Job Type: Full-timePay: Up to AED6,000.00 per monthApplication Question(s):<ul><li>Can Join Immediately</li></ul>Experience:<ul><li>Python: 2 years (Required)</li><li>AI Software Engineer: 2 years (Required)</li></ul>

AI Software Engineer

DataRobot

Key Responsibilities:<ul><li>Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</li><li>Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</li><li>Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</li><li>Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</li><li>Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</li><li>Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</li><li>Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</li><li>Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</li></ul>Knowledge, Skills and Abilities:AI &amp; Machine Learning Expertise:<ul><li>Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</li><li>Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</li><li>Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</li></ul>Application Development &amp; Operations:<ul><li>Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</li><li>Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</li><li>Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</li><li>Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</li><li>Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</li></ul>

Senior AI Engineer - Professional Services - UAE

VaporVM

<div><div><div>Date Posted:</div>
02 December, 2025</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VAPORVM IT SERVICES DMCC</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div>HPC/AI Infrastructure Engineer

Overview

We are seeking a highly skilled HPC/AI Infrastructure Engineer to design, deploy, and manage advanced computing environments leveraging NVIDIA technologies, Kubernetes, and Linux systems. This role is critical to ensuring the performance, scalability, and reliability of AI workloads across GPU-accelerated clusters.

Key Responsibilities
<ul><li>Deploy, configure, and manage NVIDIA Base Command Manager for orchestrating GPU workloads (critical).</li></ul>
<ul><li>Implement and maintain NVIDIA AI Enterprise Suite to support enterprise-grade AI frameworks.</li></ul>
<ul><li>Operate and optimize NVIDIA GPU and Network Operators within Kubernetes environments.</li></ul>
<ul><li>Utilize NVIDIA NIMs and Blueprints to streamline AI model deployment and infrastructure automation.</li></ul>
<ul><li>Administer and scale Slurm workload manager for HPC job scheduling (critical).</li></ul>
<ul><li>Manage vanilla Kubernetes clusters, ensuring high availability and resource efficiency.</li></ul>
<ul><li>Maintain and secure systems running on Canonical Ubuntu OS, including patching and performance tuning.</li></ul>

Required Skills &amp; Qualifications
<ul><li>Strong expertise with NVIDIA GPU technologies and AI infrastructure.</li></ul>
<ul><li>Hands-on experience with Slurm in HPC environments.</li></ul>
<ul><li>Proficiency in Kubernetes cluster administration.</li></ul>
<ul><li>Deep knowledge of Linux (Ubuntu) system administration.</li></ul>
<ul><li>Familiarity with network operators and GPU scheduling in containerized environments.</li></ul>
<ul><li>Ability to troubleshoot complex distributed systems.</li></ul>

Preferred Skills
<ul><li>Experience with automation tools (e.g., Ansible, Terraform).</li></ul>
<ul><li>Knowledge of cloud-native architectures and hybrid HPC/AI deployments.</li></ul>
<ul><li>Familiarity with observability tools (Prometheus, Grafana).</li></ul>
<ul><li>Background in AI/ML workflows and performance optimization.</li></ul>

Work Environment
<ul><li>Collaborative team working on cutting-edge AI and HPC solutions.</li></ul>
<ul><li>Opportunity to shape infrastructure supporting enterprise-scale AI workloads.</li></ul>
<ul><li>Exposure to NVIDIA&rsquo;s latest ecosystem of AI and GPU technologies.</li></ul></div></div>

HPC/AI Infrastructure Engineer

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Senior AI Engineer - Professional Services - UAE

HPC/AI Infrastructure Engineer