At a Glance
- Tasks: Develop AI solutions to enhance customer energy experiences and streamline internal operations.
- Company: Join a forward-thinking renewable energy startup on a mission to revolutionise energy systems.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with exciting projects and a focus on innovation.
- Why this job: Be part of a cutting-edge team making a real impact in the renewable energy sector.
- Qualifications: Backend engineering skills with a passion for applied AI.
The predicted salary is between 36000 - 60000 £ per year.
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We are combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M 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 are 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. But we are not stopping there. We are 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 centres and other energy-intensive industries.
We are now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone 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. You will be working 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.
Applied AI Engineer employer: Fuse Energy
Fuse Energy is an exceptional employer, offering a dynamic work environment where innovation meets opportunity. As an AI Compute Data Centre Engineer, you will be at the forefront of cutting-edge technology in the UK, with access to competitive salaries, biannual bonuses, and fully expensed tech. Our culture fosters professional growth and collaboration, ensuring that every team member can thrive and contribute to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy and AI sectors. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings at companies like Fuse Energy.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to applied AI and energy solutions. This could be anything from personal projects to contributions to open-source initiatives. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for interviews by understanding Fuse Energy's mission and values. Be ready to discuss how your background in AI can contribute to their goal of delivering renewable energy. Tailor your responses to show you’re not just a fit for the role, but for the company culture too.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s make that connection!
We think you need these skills to ace Applied AI Engineer
Some tips for your application 🫡
Show Your Passion for Renewable Energy:When writing your application, let your enthusiasm for renewable energy shine through! We want to see how your values align with our mission to deliver a terawatt of renewable energy. Share any relevant experiences or projects that highlight your commitment to sustainability.
Highlight Your Technical Skills:As an Applied AI Engineer, we’re looking for someone with solid backend engineering skills and a keen interest in applied AI. Make sure to detail your technical expertise, especially in areas like VLM/LLM, and how you’ve used these skills in past projects to enhance user experiences or streamline processes.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the role. Mention how your background and skills can contribute to exciting projects like the Energy Co-Pilot and Speedy Onboarding process.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of all applications. Plus, you’ll be one step closer to joining our cutting-edge AI team!
How to prepare for a job interview at Fuse Energy
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in applied AI, especially those relevant to energy systems. Be ready to discuss how your skills can directly enhance Fuse Energy's mission and projects like the Energy Co-Pilot.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you've faced in backend engineering and how you applied AI solutions to improve outcomes. This will demonstrate your ability to think critically and innovatively.
✨Understand the Company’s Vision
Dive deep into Fuse Energy's mission and values. Familiarise yourself with their approach to renewable energy and how they leverage technology. Being able to articulate how your personal values align with theirs will show that you're genuinely interested in being part of their team.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about their current AI projects or future plans for integrating AI into their operations. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
