civil engineer

project engineer

site engineer

sales engineer

planning engineer

ai engineer

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 </li>
 <li>
 Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
 </li>
 <li>
 Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
 </li>
 <li>
 Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
 </li>
 <li>
 Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
 </li>
 <li>
 Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 </li>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <li>
 Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
 </li>
 <li>
 Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
 </li>
 <li>
 Solid understanding of cloud technologies, containerisation and building scalable AI applications
 </li>
 <li>
 Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 </li>
 <li>
 Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 </li>
 <li>
 Experience working with large datasets, particularly in relation to demand and supply forecasting
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience or strong interest in energy markets and trading strategies
 </li>
 <li>
 Understanding of weather forecasting, energy demand patterns, and production modelling
 </li>
 <li>
 Exposure to Natural Language Processing (NLP) or other related fields
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

<div>
 
 Lab49
 
 is an NYC-based award-winning global specialist consultancy that creates bespoke technology.
 
 
 
 Lab49
 
 is hiring a Lead AI Engineer for an exciting opportunity in one of the world's most dynamic business hubs. This is a chance to join a pioneering team that is setting new benchmarks in the use of agentic AI, prompt-driven UIs, and LLM-powered services for a high-impact B2C client in Dubai.
 
 
 
 Job Summary
 
 
 
 As a Lead AI Engineer, you will play a pivotal role in the design and implementation of a complex, agentic AI&ndash;based solution for a major B2C company in Dubai, a market leader in its sector.
 
 
 The platform will deliver omni-channel, prompt-driven AI services, leveraging LLMs, agentic orchestration, retrieval-augmented generation (RAG), and tight integration with the client&rsquo;s existing digital and enterprise systems.
 
 
 You will lead architectural decisions, guide development standards, and help shape the next-generation customer experience powered by intelligent, modular agents.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Solution Design:
 </li>
 <li>
 Drive the architecture and solution design for the AI platform, ensuring it meets business, performance, and scalability requirements
 </li>
 <li>
 Design patterns for prompt-driven UI generation, long-term memory usage, and multi-agent collaboration
 </li>
 <li>
 Select appropriate frameworks and orchestrators (e.g., LangChain, LangGraph, CrewAI, Agno) based on project needs
 </li>
 <li>
 Application Development:
 </li>
 <li>
 Build and maintain production-grade agentic AI services in Python
 </li>
 <li>
 Own integration patterns between schema-rendered UI, prompt handling, and inference pipelines
 </li>
 <li>
 Implement APIs and backend components to interface with LLMs, memory stores, external tools, and enterprise systems
 </li>
 <li>
 Develop and integrate RAG pipelines, vector stores, and structured output parsing
 </li>
 <li>
 Contribute to re-usable libraries and accelerators
 </li>
 <li>
 Write clean, testable code and ensure robust CI/CD and deployment pipelines are in place
 </li>
 <li>
 Technical Leadership:
 </li>
 <li>
 Provide technical guidance to junior and mid-level developers
 </li>
 <li>
 Conduct code reviews and maintaining high standards of software quality
 </li>
 <li>
 Collaborate closely with product managers, front-end developers, and Lab49&rsquo;s and Client&rsquo;s architecture and QA teams
 </li>
 <li>
 Stay current with the rapidly evolving LLM landscape and proactively suggest innovations
 
 
 </li>
 </ul>
 
 Experience And Skills
 
 
 
 <ul>
 <li>
 Required experience and skills:
 </li>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field. Master&rsquo;s degree is preferred
 </li>
 <li>
 5 to 10 years of hands-on software engineering experience
 </li>
 <li>
 Strong expertise in Python and modern backend development practices
 </li>
 <li>
 At least 2 years implementing LLM and Agentic AI solutions
 </li>
 <li>
 Proven delivery of production-grade conversational AI platforms or prompt-native experiences (e.g., chatbots, voice assistants, agentic workflows)
 </li>
 <li>
 Solid understanding of cloud-native AI services, preferably on AWS
 </li>
 <li>
 Experience working in an agile, product-oriented delivery environment
 </li>
 <li>
 Desired experience and skills:
 </li>
 <li>
 Experience with RAG architectures, information extraction, and vector databases is desirable
 </li>
 <li>
 Experience with Agno is a strong plus.
 </li>
 <li>
 Details of the hybrid model: the team normally meets for 2 days a week in the office, client work may require more presence on the client premises, especially during the integration, testing and release phases of a project
 </li>
 </ul>
</div>

Lead AI Engineer, UAE

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Lab49
 
 is an NYC-based award-winning global specialist consultancy that creates bespoke technology.
 
 
 
 Lab49
 
 is hiring a Lead AI Engineer for an exciting opportunity in one of the worlds most dynamic business hubs. This is a chance to join a pioneering team that is setting new benchmarks in the use of agentic AI, prompt-driven UIs, and LLM-powered services for a high-impact B2C client in Dubai.
 
 
 
 Job Summary
 
 
 
 As a Lead AI Engineer, you will play a pivotal role in the design and implementation of a complex, agentic AI&ndash;based solution for a major B2C company in Dubai, a market leader in its sector.
 
 
 The platform will deliver omni-channel, prompt-driven AI services, leveraging LLMs, agentic orchestration, retrieval-augmented generation (RAG), and tight integration with the client&rsquo;s existing digital and enterprise systems.
 
 
 You will lead architectural decisions, guide development standards, and help shape the next-generation customer experience powered by intelligent, modular agents.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Solution Design:
 </li>
 <li>
 Drive the architecture and solution design for the AI platform, ensuring it meets business, performance, and scalability requirements
 </li>
 <li>
 Design patterns for prompt-driven UI generation, long-term memory usage, and multi-agent collaboration
 </li>
 <li>
 Select appropriate frameworks and orchestrators (e.g., LangChain, LangGraph, CrewAI, Agno) based on project needs
 </li>
 <li>
 Application Development:
 </li>
 <li>
 Build and maintain production-grade agentic AI services in Python
 </li>
 <li>
 Own integration patterns between schema-rendered UI, prompt handling, and inference pipelines
 </li>
 <li>
 Implement APIs and backend components to interface with LLMs, memory stores, external tools, and enterprise systems
 </li>
 <li>
 Develop and integrate RAG pipelines, vector stores, and structured output parsing
 </li>
 <li>
 Contribute to re-usable libraries and accelerators
 </li>
 <li>
 Write clean, testable code and ensure robust CI/CD and deployment pipelines are in place
 </li>
 <li>
 Technical Leadership:
 </li>
 <li>
 Provide technical guidance to junior and mid-level developers
 </li>
 <li>
 Conduct code reviews and maintaining high standards of software quality
 </li>
 <li>
 Collaborate closely with product managers, front-end developers, and Lab49&rsquo;s and Client&rsquo;s architecture and QA teams
 </li>
 <li>
 Stay current with the rapidly evolving LLM landscape and proactively suggest innovations
 
 
 </li>
 </ul>
 
 Experience And Skills
 
 
 
 <ul>
 <li>
 Required experience and skills:
 </li>
 <li>
 Bachelors degree in Computer Science, Information Technology, or a related field. Master&rsquo;s degree is preferred
 </li>
 <li>
 5 to 10 years of hands-on software engineering experience
 </li>
 <li>
 Strong expertise in Python and modern backend development practices
 </li>
 <li>
 At least 2 years implementing LLM and Agentic AI solutions
 </li>
 <li>
 Proven delivery of production-grade conversational AI platforms or prompt-native experiences (e.g., chatbots, voice assistants, agentic workflows)
 </li>
 <li>
 Solid understanding of cloud-native AI services, preferably on AWS
 </li>
 <li>
 Experience working in an agile, product-oriented delivery environment
 </li>
 <li>
 Desired experience and skills:
 </li>
 <li>
 Experience with RAG architectures, information extraction, and vector databases is desirable
 </li>
 <li>
 Experience with Agno is a strong plus.
 </li>
 <li>
 Details of the hybrid model: the team normally meets for 2 days a week in the office, client work may require more presence on the client premises, especially during the integration, testing and release phases of a project
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://on.iongroup.com/3QN0vLD Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Similar Jobs
 
 
 Operations And Analytics Intern
 
 
 Talentmate
 
 
 Amazon Customer Excellence Systems ACES Specialist UFG Amazon Now
 
 
 Talentmate
 
 
 Senior UX UI Product Design Consultant UAE
 
 
 Talentmate
 
 
 Engineering Program Manager Enterprise AI Middle East
 
 
 Talentmate
 
 
 Senior Account Manager
 
 
 Talentmate
 
 
 Large Enterprise Account Executive
 
 
 Talentmate
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Lead AI Engineer UAE

ICB LABS FZCO

ICB Labs is a dynamic blockchain ecosystem integrating NFTs, DeFi, and metaverse technologies to revolutionize how businesses and individuals interact with the digital world.ICB Labs is more than just a blockchain company it is a visionary hub where traditional industries seamlessly connect with Web3 technologies. We believe in the power of decentralization to foster innovation, transparency, and financial inclusivity. Our ecosystem is designed to empower users with accessible, efficient, and future-ready blockchain solutions.Key Responsibilities<ul><li>Develop, train, and fine-tune machine learning models for various use cases (e.g., NLP, computer vision, recommendation</li></ul>systems, etc.)<ul><li>Analyze large datasets to extract insights and prepare data for model training</li><li>Research and implement state-of-the-art algorithms in AI and deep learning</li><li>Build scalable and efficient model pipelines for production use</li><li>Monitor, test, and improve model performance and accuracy over time</li><li>Collaborate with data engineers and software developers to deploy models into production environments</li><li>Document processes, models, and decisions for technical transparency and reproducibility.</li></ul><ul><li>Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face</li></ul><ul><li>Hands-on experience in training models using supervised, unsupervised, or reinforcement learning</li></ul><ul><li>Solid understanding of machine learning fundamentals: feature engineering, model evaluation, overfitting, cross-validation</li></ul><ul><li>Experience with data preprocessing, cleaning, and transformation</li></ul><ul><li>Familiarity with version control tools (e.g., Git) and experiment tracking tools (e.g., MLflow, Weights &amp; Biases)</li></ul><ul><li>Ability to write clean, scalable, and efficient code</li></ul><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li></ul>Preferred Skills<ul><li>Experience with cloud platforms (AWS, GCP, Azure) for AI/ML model deployment</li></ul><ul><li>Knowledge of MLOps tools and practices (Docker, Kubernetes, CI/CD pipelines)</li></ul><ul><li>Experience working with unstructured data (text, image, audio)</li></ul><ul><li>Understanding of large language models (LLMs), transformers, or generative AI systems</li></ul><ul><li>Contribution to open-source ML projects or published research in AI conferences (nice to have)</li></ul>Job Type: Full-timePay: AED8,000.00 - AED15,000.00 per month

AI Engineer

Entrepreneurs Business Services

Experience : 1 or 2 years UAETasksDeveloping AI models from initial conception to implementation.<ul><li>Understanding business problems and translating them into AI solutions.</li></ul><ul><li>Creating and maintaining AI algorithms and applications.</li></ul><ul><li>Collaborating with the data science team to build optimal data systems.</li></ul><ul><li>Integrating AI applications into company platforms.</li></ul><ul><li>Validating and deploying AI models.</li></ul><ul><li>Keeping up-to-date with the latest AI trends and technologies.</li></ul><ul><li>Presenting technical findings to non-technical stakeholders.</li></ul><ul><li>Ensuring AI applications follow regulatory and ethical standards.</li></ul>&bull; Providing technical support for AI products.Qualification<ul><li>Proven experience as an AI Developer or similar role.</li></ul><ul><li>Experience in developing AI applications and AI-focused programming languages, such as: Phyton (Key libraries): &#10146; TensorFlow &#10146; Scikit-learn &#10146; NumPy &#10146; Keras &#10146; Pandas &#10146; PyTorch</li></ul>Application Process:Please send your resume to reception@ebsuae.comJob Type: Full-time

AI ENGINEER

<div>
 
 Job Description
 
 
 
 
 About Brain Co.
 
 
 
 Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.
 
 
 
 About The Role
 
 
 
 As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
 </li>
 <li>
 Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
 </li>
 <li>
 Make a Difference: Engage in projects including but not limited to optimizing the worlds most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
 </li>
 <li>
 Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
 </li>
 <li>
 Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.
 </li>
 <li>
 Have at least a high level familiarity with the architecture and operation of large language models.
 </li>
 <li>
 Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
 </li>
 <li>
 Possess a strong foundation in data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
 </li>
 <li>
 Can work collaboratively with cross-functional teams.
 </li>
 <li>
 Thrive in fast-paced environments where priorities or deadlines may compete.
 </li>
 <li>
 Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary plus equity
 </li>
 <li>
 Daily lunches
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 401(k)
 </li>
 <li>
 Medical, Dental and Vision
 </li>
 <li>
 Unlimited PTO
 
 
 </li>
 </ul>
 
 
 This is a hybrid role based out of our Dubai office.
 
 
 
 
 Job Details
 
 
 Role Level: Entry-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.brain.co/ Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Similar Jobs
 
 
 Operations And Analytics Intern
 
 
 Talentmate
 
 
 Amazon Customer Excellence Systems ACES Specialist UFG Amazon Now
 
 
 Talentmate
 
 
 Senior UX UI Product Design Consultant UAE
 
 
 Talentmate
 
 
 Engineering Program Manager Enterprise AI Middle East
 
 
 Talentmate
 
 
 Senior Account Manager
 
 
 Talentmate
 
 
 Large Enterprise Account Executive
 
 
 Talentmate
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

AI ML Engineer

Zehn Solutions

<div>
 
 
 Position : AI/ML Engineer
 
 
 
 
 Location : Dubai ( work from Office strictly)
 
 
 
 
 Salary : Negotiable on current package
 
 
 
 
 
 
 We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
 
 
 The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
 
 
 
 
 
 
 Roles and Responsibilities:
 
 
 <ul>
 <li>
 &nbsp;Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
 </li>
 <li>
 &nbsp;Managing available resources such as hardware, data, and personnel so that deadlines are met
 </li>
 <li>
 Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
 </li>
 <li>
 Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
 </li>
 <li>
 Verifying data quality, and/or ensuring it via data cleaning
 </li>
 <li>
 Supervising the data acquisition process if more data is needed
 </li>
 <li>
 Finding available datasets online that could be used for training
 </li>
 <li>
 Defining validation strategies
 </li>
 <li>
 Defining the preprocessing or feature engineering to be done on a given dataset
 </li>
 <li>
 Defining data augmentation pipelines
 </li>
 <li>
 Training models and tuning their hyperparameters
 </li>
 <li>
 Analyzing the errors of the model and designing strategies to overcome them
 </li>
 <li>
 Deploying models to production
 </li>
 </ul>
 
 
 
 
 
 Skills :
 
 
 <ul>
 <li>
 Proficiency with a deep learning framework such as TensorFlow or Keras
 </li>
 <li>
 Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
 </li>
 <li>
 Expertise in visualizing and manipulating big datasets
 </li>
 <li>
 Proficiency with OpenCV
 </li>
 <li>
 Familiarity with Linux
 </li>
 <li>
 Ability to select hardware to run an ML model with the required latency
 </li>
 </ul>
</div>

AI/ ML Engineer

Explore 1332+ Ai engineer in Dubai this September. Find roles across top companies and apply now to boost your career.