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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

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

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

Rapyd

<div>
 
 
 Description
 
 
 
 Rapyd has unified payments, payouts and fintech on one worldwide platform, and we&rsquo;re assembling the world&rsquo;s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.
 
 
 We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let&rsquo;s build the future of fintech together.
 
 
 We&rsquo;re looking for a builder with a backend backbone&mdash;someone who can spot an opportunity, sketch a solution, and ship a working service fast. You&rsquo;ll turn AI ideas into production-grade APIs and microservices, then iterate based on real data and feedback.
 
 
 You&rsquo;ll work at the edge of what&rsquo;s possible with LLMs, RAG pipelines, and vector-based retrieval. The mission: wire up smart systems that automate workflows, elevate productivity, and make AI feel less like magic and more like reliable infrastructure.
 
 
 Get the tools to grow globally at
 
 www.rapyd.net
 
 . Follow:
 
 Blog
 
 ,
 
 Insta
 
 ,
 
 LinkedIn
 
 ,
 
 Twitter
 
 
 
 
 
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Design, build, and scale backend services and RESTful APIs to power AI-driven features.
 </li>
 <li>
 Develop and iterate on LLM-based applications, including context-aware pipelines (e.g. with vector-store retrieval).
 </li>
 <li>
 Own the full lifecycle: prototyping, evaluation, deployment, monitoring, and continuous iteration.
 </li>
 <li>
 Define KPIs, run experiments, and optimize systems based on metrics and data.
 </li>
 <li>
 Collaborate across product, data, and engineering to translate ideas into robust, shippable systems.
 </li>
 <li>
 Stay current with the evolving LLM/agent ecosystem and rapidly apply new tools or protocols (e.g., MCP).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 What you'll need (core requirements):
 
 <ul>
 <li>
 5+ years of professional software development experience with a strong backend focus.
 </li>
 <li>
 Experience with advanced LLM workflows: prompt engineering, inference optimization, fine-tuning, and evaluation.
 </li>
 <li>
 Demonstrated experience integrating generative models with external knowledge (via RAG or similar patterns).
 </li>
 <li>
 Practical knowledge of embeddings and vector databases (e.g. FAISS, Pinecone).
 </li>
 <li>
 Experience building and scaling data pipelines for LLM ingestion and retrieval.
 </li>
 <li>
 Strong communication skills, bias for action, and ability to thrive in fast-paced environments.
 </li>
 </ul>
 
 Bonus / preferred qualifications:
 
 <ul>
 <li>
 Previous work with agent frameworks or context protocols.
 </li>
 <li>
 Experience with Agile practices and a habit of staying on top of AI research and tooling.
 </li>
 <li>
 Hands-on experience designing and building microservices architectures.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 Job Candidate Privacy Policy &ndash;
 
 https://www.rapyd.net/candidate-privacy-policy
 
 
</div>

AI Software Engineer

Dautom

<div>
 
 Hiring for AI Infrastructure Engineer in Dubai for Semi Govt Client
 
 
 Years : 6 Years
 
 
 Location : Dubai ( Looking for UAE Based candidates )
 
 
 Reports To: Head of Infrastructure / AI Platform Lead
 
 
 
 
 
 Job Summary :
 
 
 Design, build, and operate scalable GPU-based AI infrastructure to support LLMs, GenAI, computer vision, and ML workloads. Manage GPU clusters, deploy OpenShift AI, and ensure high-performance, secure AI platforms across hybrid cloud environments.
 
 
 
 
 
 Key Responsibilities:
 
 
 Deploy and maintain Red Hat OpenShift AI (RHODS) for multi-tenant AI environments.
 
 
 Host and scale #LLM frameworks (Llama, Falcon, Mistral, etc.) and vector databases.
 
 
 Build MLOps pipelines for model training, deployment, and monitoring using Terraform/Ansible.
 
 
 Implement hybrid AI solutions across Sovereign Cloud, Azure AI, and Oracle Cloud.
 
 
 Mandatory Skills &amp; Experience:
 
 
 7+ years in #cloudinfrastructure, DevOps, or AI/ML platform engineering.
 
 
 Hands-on experience with #NVIDIA#GPU clusters (CUDA, DNN, GPU operators, NCCL).
 
 
 Strong experience with OpenShift AI (RHODS)
 
 
 
 
 
 Key Deliverables:
 
 
 Production-ready #GPUclusters and #OpenShift #AIplatform.
 
 
 Scalable #LLM serving environment with #MLOps automation.
 
 
 Fully documented, secure, and compliant #AIinfrastructure.
 
 
 
 
 
 Share your word cv to Hema Javvadi with your CTC and Notice details : hema.j@dautom.com
 
</div>

AI Infrastructure Engineer

Sadeem Energy

Join Sadeem Energy &ndash; We&rsquo;re Hiring!Company: Sadeem Energy Location: Dubai, UAE Job Type: Full-Time /Part TimeSadeem Energy, a leading company in energy and technology solutions, is expanding its team. We are looking for motivated professionals for the following positions:1. AI / IT / Software Engineer-Salary: 2,500 AED + commission (salary increase after 3 months based on performance)Responsibilities:<ul><li>Develop, maintain, and optimize software and AI solutions.</li><li>Collaborate on technical projects</li><li>Provide support for IT infrastructure and software applications.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, IT, or related field.</li><li>Experience in software development, AI, or machine learning.</li><li>Strong problem-solving and analytical skills.</li></ul>2&#65039;. Water Treatment / Irrigation Engineer (Own visa required)-Salary: 2,500 AED + commission (salary increase after 3 months based on performance)Responsibilities:<ul><li>Design, install, and maintain water treatment and irrigation systems.</li><li>Conduct site inspections and ensure systems comply with UAE standards.</li><li>Prepare technical reports, BOQs, and proposals.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Irrigation, l, Environmental or Water Engineering.</li><li>Experience in irrigation and/or water treatment systems.</li><li>Knowledge of pumps, pipelines, filtration, and hydraulic systems.</li></ul>3&#65039;. Technician(Own visa required)-Salary: 1,200 &ndash; 2,000 AED (part-time)Responsibilities:<ul><li>Support installation, maintenance, and troubleshooting of systems.</li><li>Assist engineers on-site.</li><li>Ensure safety and quality standards.</li></ul>Requirements:<ul><li>Relevant technical diploma or experience in related field.</li><li>Hands-on skills and ability to work on-site.</li></ul>4&#65039; Driver (Own visa required)Responsibilities:<ul><li>Safely transport staff and materials using company vehicle.</li><li>Maintain vehicle condition and cleanliness.</li><li>Follow traffic rules and company guidelines.</li></ul>Requirements:<ul><li>Valid UAE driving license (Light Vehicle).</li><li>Punctual, reliable, and safety-conscious.</li></ul>Why Join Us:<ul><li>Competitive salary and benefits</li><li>Professional work environment</li><li>Opportunities for career growth</li></ul>How to Apply:Send your CV and relevant documents to: dhananjaya@sadeemenergy.comFor more information about our company, visit: www.sadeemenergy.comJob Types: Full-time, Part-timePay: AED1,200.00 - AED3,000.00 per monthWork Location: In person

Hiring – AI/IT Engineer, Water/Irrigation Engineer, Technicians & Driver

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AI Engineer

AI Engineer

Senior AI Engineer, Quantitative Strategies

Senior AI Engineer - Professional Services - UAE

AI Software Engineer

AI Infrastructure Engineer

Hiring – AI/IT Engineer, Water/Irrigation Engineer, Technicians & Driver