Job description

The Applied AI Engineer role is part of a renewable energy startup building an integrated energy system combining solar, wind, hydrogen projects, real-time power trading, and distributed energy installations. The role focuses on applied artificial intelligence and machine learning to enhance both consumer energy experiences and internal operational efficiency. The engineer will design, develop, and deploy AI-powered features such as personalised energy recommendations and AI-driven onboarding systems that can process inputs like energy bills using LLM/VLM technologies. The role includes building internal AI tools to improve productivity, automation, and workflow efficiency across the organization. The Applied AI Engineer collaborates with backend engineers and data scientists to integrate AI-driven capabilities into production platforms and works with trading and operations teams to align models with real-time energy market conditions and pricing. The role involves improving AI models to optimise trading strategies by incorporating weather and demand forecasting data, working with large-scale datasets related to energy consumption and supply patterns. The position requires continuous monitoring of AI system performance in production environments and applying advancements in applied AI, machine learning, and NLP to real-world energy industry challenges within a fast-scaling technology environment backed by major global investors.