Applied AI Engineer

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February 27

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Fuse Energy

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Energy

Fuse Energy is an energy company that simplifies the process of switching electricity suppliers and provides real-time billing information. They offer competitive tariffs in the UK and operate solar and wind projects, reinvesting profits into renewable energy initiatives worldwide. Fuse Energy aims to provide customers with transparent billing and easy switching through their app, while promoting sustainability.

11 - 50 employees

⚡ Energy

💰 Venture Round on 2022-09

📋 Description

• At Fuse Energy, we are transforming the energy sector with innovative solutions that empower consumers. • We are looking for an Applied AI Engineer to join our growing team at Fuse Energy. • This position is ideal for an engineer who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. • As an Applied AI Engineer, you will work on a variety of exciting projects, including consumer-focused features like the Energy Co-pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). • You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse Energy.

🎯 Requirements

• Design, develop, and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g., using energy bills for quick setup). • 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. • Continuously improve and optimise AI models (including LLM and VLM) to provide a better user experience. • Develop scalable, maintainable AI infrastructure to support a growing set of consumer-facing and internal AI features. • Collaborate with the trading and operations teams to ensure the AI models are aligned with real-time market conditions and energy pricing. • Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts. • Stay up to date with the latest advancements in applied AI and machine learning, and apply them to solve real-world problems within the energy space. • Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively.

🏖️ Benefits

• Competitive salary and a stock options sign-on bonus • Biannual bonus scheme • Fully expensed tech to match your needs! • Paid annual leave • Breakfast and dinner for office based employees