At a Glance
- Tasks: Design and develop AI features to enhance consumer energy experiences and streamline internal operations.
- Company: Join a forward-thinking renewable energy startup on a mission to revolutionise energy systems.
- Benefits: Competitive salary, equity bonus, tech support, and paid leave.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- Why this job: Make a real impact in the energy sector while working with cutting-edge AI technology.
- Qualifications: 3+ years engineering experience, strong backend skills, and a passion for applied AI.
The predicted salary is between 60000 - 80000 £ per year.
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 $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’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. But we’re not stopping there. 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.
We're 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'll 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.
Responsibilities
- 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
- Collaborate with the trading and operations teams to ensure 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
Minimum Qualifications
- 3 years of engineering experience
- Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
- Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
- Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
- Solid understanding of cloud technologies, containerisation and building scalable AI applications
- Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
- Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
- Experience working with large datasets, particularly in relation to demand and supply forecasting
Bonus Qualifications
- Experience or strong interest in energy markets and trading strategies
- Understanding of weather forecasting, energy demand patterns, and production modelling
- Exposure to Natural Language Processing (NLP) or other related fields
Competitive salary and an equity sign-on bonus. Biannual bonus scheme. Fully expensed tech to match your needs. Paid annual leave. Breakfast and dinner for office based employees.
Remote Applied AI Engineer in Suffolk employer: Fuse Energy
Fuse Energy is an innovative employer at the forefront of the renewable energy sector, offering a dynamic work environment that fosters creativity and collaboration. As a Remote Applied AI Engineer, you'll have the opportunity to work on groundbreaking projects that directly impact consumer experiences while enjoying competitive salaries, equity bonuses, and a culture that prioritises employee growth and well-being. With a commitment to cutting-edge technology and a mission to revolutionise energy systems, Fuse Energy provides a unique platform for professionals eager to make a meaningful difference in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Applied AI Engineer in Suffolk
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy and AI sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on that perfect Applied AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to energy or automation. This will give potential employers a taste of what you can do and how you can contribute to their mission at Fuse Energy.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of the energy market. Be ready to discuss how your experience aligns with Fuse's goals and how you can leverage AI to enhance consumer experiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our innovative team at Fuse Energy.
We think you need these skills to ace Remote Applied AI Engineer in Suffolk
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for applied AI shine through! We want to see how your skills can directly impact our mission at Fuse Energy. Share specific examples of projects or experiences that highlight your interest in AI and how it can enhance the energy experience.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your backend engineering experience and any relevant AI projects you've worked on. We love seeing how your unique background fits into our vision, so don’t hold back on showcasing your skills!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and how you can contribute to our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our cutting-edge AI team at Fuse Energy!
How to prepare for a job interview at Fuse Energy
✨Know Your AI Stuff
Make sure you brush up on your applied AI knowledge, especially in relation to energy systems. Be ready to discuss how you've used AI in past projects and how it can enhance consumer experiences at Fuse Energy.
✨Show Off Your Coding Skills
Since this role requires strong programming skills, be prepared to demonstrate your proficiency in Python or similar languages. You might even face a coding challenge, so practice writing clean, efficient code that integrates AI models.
✨Understand the Energy Market
Familiarise yourself with the basics of energy markets and trading strategies. Being able to discuss how AI can optimise trading based on market conditions will show that you're not just technically savvy but also understand the industry.
✨Collaborate Like a Pro
This role involves working with various teams, so highlight your collaboration skills. Share examples of how you've successfully worked with backend engineers or data scientists to integrate AI solutions in previous roles.
