Applied AI Engineer - Energy AI for Real-Time Ops

Fuse Energy; Dubai; On-site; AED 350,000 - 650,000; Full time

Benefits offered by this job

Equity

Health insurance

Fully expensed tech

Breakfast and dinner allowance

Job summary

Fuse Energy in Dubai is building cutting-edge AI solutions to make energy more affordable and accessible. As an Applied AI Engineer, you will design, develop, and deploy AI-powered consumer features and internal tools that boost productivity across the company.

You will collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, work with LLMs/VLMs, and ensure models align with real-time energy pricing and weather forecasts while maintaining

Qualifications

• Minimum 3 years of engineering experience.
• Proven experience as a backend engineer with applied AI or ML.
• Strong Python skills and experience with AI/ML libraries (TensorFlow, PyTorch).
• Experience with large-scale models (LLMs/VLMs) and production deployment.
• Solid understanding of cloud technologies, containerisation and scalable AI apps.
• Ability to integrate AI/ML models into real-world applications, focusing on usability and performance.
• Experience with large datasets related to demand and supply forecasting.

Responsibilities

• Design, develop and deploy AI-powered features impacting consumer experiences, including personalised energy recommendations and onboarding.
• Build and optimise internal AI tools to improve company productivity, focusing on automation and workflows.
• Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms.
• Collaborate with trading and operations to align AI models with real-time market conditions and energy pricing.
• Improve AI models to optimise trading strategies using weather and demand forecasts.
• Stay up-to-date with AI/ML advancements and apply them to energy problems.
• Monitor performance of AI tools and models to ensure efficiency.

Skills

Backend engineering

Applied AI

Python

LLMs/VLMs

Cloud technologies

Containerisation

AI/ML libraries

Tools

TensorFlow

PyTorch

Job description

Fuse Energy in Dubai is building cutting-edge AI solutions to make energy more affordable and accessible. As an Applied AI Engineer, you will design, develop, and deploy AI-powered consumer features and internal tools that boost productivity across the company.

You will collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, work with LLMs/VLMs, and ensure models align with real-time energy pricing and weather forecasts while maintaining