About the job
Join fuseenergy, an innovative renewable energy startup dedicated to rapidly delivering a terawatt of renewable energy. We are leveraging first-principles thinking along with advanced technology to create a significantly improved energy system. With $170M raised from prominent investors, including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and notable angels like Nico Rosberg, co-founder of Solana, we are on a transformative journey.
Our vision includes developing a fully integrated energy company that encompasses solar, wind, and hydrogen projects, real-time power trading, and distributed energy installations. By selling directly to consumers, we minimize costs and pass those savings on to our customers.
We are also pioneering the Energy Network, a decentralized platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak times, and contributing to grid stability. This network is crucial for enhancing grid resilience, especially as we scale AI data centers and other energy-intensive sectors.
As we build our cutting-edge AI team, we are seeking an Applied AI Engineer. This role is perfect for someone with the backend engineering skills who has a passion for applied AI and its potential to elevate the energy experience for our customers and streamline our operations. You'll engage in a range of exciting projects, such as developing consumer-centric features like the Energy Co-Pilot and the Speedy Onboarding process, utilizing tools like VLM/LLM. Your collaboration across various teams will be essential to create AI solutions that enhance productivity and optimize workflows within fuseenergy.
