Applied AI Engineer

Overview

As an Applied AI Engineer at Fuse Energy, you will shape customer-facing and internal AI-powered features that improve energy experiences and operational productivity. You’ll integrate AI with our energy platform, aligning models with real-time market conditions and grid needs. This role sits at the crossroads of backend engineering and applied AI, offering opportunities to impact onboarding, personalized energy recommendations, and trading strategies. You join a mission-driven team accelerating clean energy through innovative AI and data-driven decisions.

Pay / Benefits

• Competitive salary
• Equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech
• Paid annual leave
• Office meals (breakfast and dinner)

Responsibilities

• Design, develop and deploy AI-powered features for consumer experiences (e.g., personalized energy recommendations, AI-based onboarding)
• Build and optimize internal AI tools to boost company productivity and automate workflows
• Collaborate with backend engineers and data scientists to integrate AI-driven features
• Coordinate with trading and operations to ensure AI models reflect real-time energy pricing and market conditions
• Improve AI models to optimize trading strategies using weather and demand forecasts
• Stay current with AI/ML advancements and apply them to energy problems
• Monitor AI tool performance to ensure efficiency and reliability

Key requirements

• 3+ years engineering experience
• Proven Backend Engineer with practical applied AI/ML experience
• Strong Python skills and ML libraries (TensorFlow, PyTorch)
• Experience deploying large-scale models (LLMs/VLMs) to production
• Cloud, containerisation, and scalable AI application experience
• Ability to integrate AI/ML models into real-world apps emphasizing usability and performance
• Strong problem-solving in fast-paced environments
• Experience with large datasets for demand and supply forecasting

• Collaborative mindset
• Problem-solving under ambiguity
• Fast-learning and initiative
• Python
• TensorFlow
• PyTorch

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