{"id":60678,"date":"2026-04-13T20:40:47","date_gmt":"2026-04-13T16:40:47","guid":{"rendered":"https:\/\/herecareers.com\/job\/head-of-engineering-ai\/"},"modified":"2026-04-13T20:40:48","modified_gmt":"2026-04-13T16:40:48","slug":"head-of-engineering-ai","status":"publish","type":"job_listing","link":"https:\/\/herecareers.com\/ar\/job\/head-of-engineering-ai\/","title":{"rendered":"Head of Engineering (AI)"},"content":{"rendered":"<p>411_3442407<\/p>\n<p><p>Fuse Energy is a forward\u2011thinking renewable energy startup on a mission to deliver a terawatt of renewable energy \u2013 fast. We\u2019re combining first\u2011principles thinking with cutting\u2011edge technology to build a radically better energy system. We raised $170M from top\u2011tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co\u2011Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We\u2019re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real\u2011time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. We\u2019re also building the Energy Network\u2014a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off\u2011peak hours, and helping balance the grid. This network strengthens grid stability\u2014a critical foundation for scaling AI data centres and other energy\u2011intensive industries. As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform\u2014from intelligent forecasting models and optimisation algorithms to personalised customer experiences and internal automation. This role is both strategic and hands\u2011on. You\u2019ll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product and platform teams. <\/p>\n<h3>\u0627\u0644\u0645\u0633\u0624\u0648\u0644\u064a\u0627\u062a <\/h3>\n<ul>\n<li>Own the AI engineering roadmap and lead the development of AI\u2011first features. <\/li>\n<li>Productionise ML models, ensuring scalability, performance and observability. <\/li>\n<li>Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI\/CD for ML, model versioning). <\/li>\n<li>Build systems that integrate AI into key parts of our stack:\n<ul>\n<li>Forecast customer demand and renewable generation. <\/li>\n<li>Dynamic pricing and energy trading algorithms. <\/li>\n<li>Intelligent alerts and personalised customer features. <\/li>\n<\/ul>\n<\/li>\n<li>Work closely with product and engineering leadership to identify high\u2011impact AI opportunities. <\/li>\n<li>Build and lead a high\u2011performing team of AI engineers. <\/li>\n<\/ul>\n<h3>Benefits <\/h3>\n<ul>\n<li>Competitive salary and an equity sign\u2011on bonus. <\/li>\n<li>Bi\u2011annual bonus scheme. <\/li>\n<li>Fully expensed tech to match your needs. <\/li>\n<li>Paid annual leave. <\/li>\n<li>Breakfast and dinner allowance for office\u2011based employees. <\/li>\n<\/ul>\n<h3>Qualifications <\/h3>\n<ul>\n<li>Strong software engineering background with 5+ years of experience, including at least 2 years leading AI\/ML engineering teams. <\/li>\n<li>Deep experience deploying ML models into production environments. <\/li>\n<li>Proficiency in designing scalable data pipelines and real\u2011time inference systems. <\/li>\n<li>Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker). <\/li>\n<li>Strong cross\u2011functional collaboration skills, particularly with data science and product teams. <\/li>\n<li>Clear communication and an ability to prioritise for both experimentation and reliability. <\/li>\n<\/ul>\n<h3>Nice to Have <\/h3>\n<ul>\n<li>Familiarity with optimisation, time\u2011series modelling or forecasting. <\/li>\n<li>Experience with large language models (LLMs), RAG or generative AI in production. <\/li>\n<li>Background in MLOps or AI infrastructure at scale. <\/li>\n<\/ul>\n<p> #J-18808-Ljbffr<\/p>\n<p>2026-04-01 07:25:55<\/p>","protected":false},"author":100,"featured_media":0,"comment_status":"open","ping_status":"open","template":"","job_listing_type":[68],"job_listing_category":[158],"job_listing_location":[720],"job_listing_tag":[],"class_list":["post-60678","job_listing","type-job_listing","status-publish","hentry","job_listing_type-full-time","job_listing_category-engineering","job_listing_location-united-arab-emirates"],"metas":{"_job_featured_image":"","_job_featured":"","_job_filled":"","_job_urgent":"","_job_category":{"158":"Engineering"},"_job_type":{"68":"Full 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