Applied AI Engineer

Core responsibilities:

• Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models
• Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
• Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
• Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing

This role enhances the energy experience for customers and internal operations through AI applications, while supporting grid stability which is critical for scaling AI data centers and other energy-intensive industries.

Required skills and experience:

• Minimum 3 years of engineering experience
• Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
• Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
• Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
• Solid understanding of cloud technologies, containerisation and building scalable AI applications

Benefits include:

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy fast, combining first-principles thinking with cutting-edge technology to build a radically better energy system.