Head of Engineering (AI)

About Fuse Energy

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.

About the Role

As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation. This role is both strategic and hands-on. You’ll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams.

Responsibilities

• Own the AI engineering roadmap and lead the development of AI-first features.
• Productionize ML models, ensuring scalability, performance, and observability.
• Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning).
• Build systems that integrate AI into key parts of our stack, such as:
  • Forecasting customer demand and renewable generation.
  • Dynamic pricing and energy trading algorithms.
  • Intelligent alerts and personalized customer features.
• Work closely with product and engineering leadership to identify high-impact AI opportunities.
• Build and lead a high-performing team of AI engineers.

Requirements

• Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams.
• Deep experience deploying ML models into production environments.
• Proficiency in designing scalable data pipelines and real-time inference systems.
• Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker).
• Strong cross-functional collaboration skills, particularly with data science and product teams.
• Clear communication and an ability to prioritize for both experimentation and reliability.

Bonus

• Familiarity with optimization, time series modeling, or forecasting.
• Experience with large language models (LLMs), RAG, or generative AI in production.
• Background in MLOps or AI infrastructure at scale.