Fuse Energy, a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy fast, is seeking an Applied AI Engineer in Dubai to build AI-powered features that enhance the energy experience for customers and internal operations. This role combines backend engineering expertise with applied AI, working on consumer-facing products like the Energy Co-Pilot and Speedy Onboarding, as well as internal AI tools that boost productivity across the company.
About Fuse Energy — Building a Radically Better Energy System
Funding Strength: Raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, and Lowercarbon
Fully Integrated Model: Developing solar, wind, and hydrogen projects alongside real-time power trading and distributed energy installations
Direct-to-Consumer: Selling directly to consumers to cut out the middleman and lower costs
The Energy Network: A decentralised platform of smart devices electrifying homes and strengthening grid stability for AI data centers and energy-intensive industries
Building a Cutting-Edge AI Team
Consumer AI Products: Personalised energy recommendations and seamless onboarding using LLM/VLM models
Internal AI Tooling: Productivity-focused automation tools built for teams across Fuse Energy
Trading Optimisation: AI models aligned with real-time market conditions, weather, and demand forecasts
Cross-Functional Collaboration: Close partnership with backend engineers, data scientists, and trading teams
Position Overview
This Applied AI Engineer role is ideal for someone with the technical expertise of a backend engineer who is specifically interested in applied AI and how it can enhance the energy experience. You will design, develop, and deploy AI-powered features that directly impact consumer experiences, build and optimise internal AI tools focused on automation, and collaborate with trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing.
Why This Role Matters: As an Applied AI Engineer at Fuse Energy, you build AI products like the Energy Co-Pilot used by real consumers, deploy LLM/VLM models into production at a fast-moving, well-funded renewable energy startup, optimise trading strategies using weather and demand forecasting, and help shape an AI team from the ground up at a company backed by top-tier investors and industry pioneers.
Key Responsibilities
Consumer-Facing AI Products
- Design, develop, and deploy AI-powered features impacting consumer experiences directly
- Build personalised energy recommendations and seamless AI-driven onboarding (e.g. using energy bills for quick setup)
- Work on products such as the Energy Co-Pilot and Speedy Onboarding leveraging VLM/LLM tools
Internal AI Tooling & Productivity
- Build and optimise internal AI tools focused on automation and workflow enhancement
- Collaborate with backend engineers and data scientists to integrate AI-driven features into platforms
Trading & Market-Aligned AI Models
- Collaborate with trading and operations teams to align AI models with real-time market conditions and pricing
- Improve AI models to optimise trading strategies based on weather and demand forecasts
- Monitor performance of AI tools and models to ensure efficient, effective operation
Continuous Innovation
- Stay up to date with the latest advancements in applied AI and machine learning
- Apply emerging AI techniques to solve real-world problems within the energy space
Qualifications & Requirements
Experience Requirements
- Minimum 3 years of engineering experience
- Proven experience as a Backend Engineer with strong interest and practical experience in applied AI or machine learning
- Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
Essential Skills
- Strong programming skills in Python (or similar), with familiarity in AI/ML libraries such as TensorFlow and PyTorch
- Solid understanding of cloud technologies, containerisation, and building scalable AI applications
- Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
- Strong problem-solving skills with a practical approach to implementing AI solutions in a fast-paced environment
- Experience working with large datasets, particularly demand and supply forecasting
Bonus Skills
- Experience or strong interest in energy markets and trading strategies
- Understanding of weather forecasting, energy demand patterns, and production modelling
- Exposure to Natural Language Processing (NLP) or related fields
About Fuse Energy — Delivering a Terawatt of Renewable Energy, Fast
Join Fuse Energy, a fully integrated renewable energy company spanning solar, wind, and hydrogen development, real-time power trading, and distributed energy installations. Backed by $170M from top-tier investors, Fuse Energy offers competitive salary, an equity sign-on bonus, a biannual bonus scheme, fully expensed tech, paid annual leave, and office meal allowances for employees building the future of energy.
Career Excellence: Build applied AI products that directly shape how millions of customers experience renewable energy.
Who Should Apply?
- Backend Engineers with AI Interest: Looking to pivot into applied AI and machine learning
- LLM/VLM Engineers: Experienced deploying large-scale models into production
- Energy & Trading Enthusiasts: Interested in applying AI to market and demand forecasting
- Startup-Minded Engineers: Excited to help build a cutting-edge AI team from the ground up
- Climate Tech Builders: Passionate about renewable energy and sustainable infrastructure
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