At a Glance
- Tasks: Build AI infrastructure for renewable energy, designing scalable software and implementing analytics.
- Company: Amplytic.co, a pioneering AI asset manager for clean energy.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Be part of a dynamic team with exceptional ownership and a high-trust culture.
- Why this job: Join a mission to revolutionise renewable energy and make a real-world impact.
- Qualifications: Expertise in Python, cloud platforms, and a passion for innovation in fast-paced environments.
The predicted salary is between 70000 - 90000 £ per year.
As a Founding Engineer at Amplytic, you will build the core AI infrastructure managing wind, solar, and storage portfolios from the ground up. You will design scalable software, implement AI-driven analytics, and shape the technical roadmap to automate complex regulatory and commercial workflows, directly impacting the operational efficiency of global clean-energy assets.
Location: London, UK
Why this role is remarkable:
- Exceptional ownership: You aren't just supporting a team; you are the engineering force building an AI asset manager for millions in clean-energy assets.
- High-impact mission: Directly contribute to the global adoption of renewable power by reducing operational drag through sophisticated ontology-led intelligence layers.
- Elite technical culture: Work in a high-trust, low-bureaucracy environment where builders are empowered to make bold calls and move at a rapid pace.
What you will do:
- Architect and develop scalable software systems to link operational data with commercial contracts and regulatory rules.
- Implement and optimize AI/ML technologies to automate revenue logic validation, compliance tracking, and settlement interpreting.
- Collaborate directly with leadership to define the technical vision and navigate complex energy-market logic to drive product innovation.
The ideal candidate:
- Proven expertise in software engineering with a deep proficiency in Python and modern data structures/algorithms.
- Hands-on experience building and deploying infrastructure on cloud platforms such as AWS, Azure, or Google Cloud.
- A growth mindset with the ability to thrive in a fast-paced startup environment, preferably with exposure to fintech or energy sectors.
Required skills:
- Algorithms
- AWS
- Python
- Software Architecture
- Azure
- Google Cloud
- Data Structures
- Fintech
- English
Founding Engineer: AI-Driven Energy Asset Platform employer: Jack & Jill
At Amplytic, we pride ourselves on being an exceptional employer that fosters a culture of innovation and ownership. As a Founding Engineer in London, you will not only have the opportunity to shape the future of renewable energy through cutting-edge AI technology but also benefit from a high-trust environment that encourages bold decision-making and rapid progress. With a strong focus on employee growth and a commitment to making a meaningful impact in the clean-energy sector, Amplytic offers a unique and rewarding workplace for those passionate about sustainability and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Engineer: AI-Driven Energy Asset Platform
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy and AI sectors. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI, software engineering, or renewable energy. This is your chance to demonstrate your expertise and passion, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and values. Understand their tech stack and be ready to discuss how your experience aligns with their goals. Tailor your responses to show how you can contribute to their high-impact mission.
✨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 are proactive about their job search and genuinely interested in joining our team.
We think you need these skills to ace Founding Engineer: AI-Driven Energy Asset Platform
Some tips for your application 🫡
Show Your Passion for Clean Energy:When writing your application, let your enthusiasm for renewable energy shine through. We want to see how your values align with our mission at Amplytic. Share any relevant experiences or projects that highlight your commitment to sustainability.
Highlight Your Technical Skills:Make sure to showcase your expertise in Python and cloud platforms like AWS or Azure. We’re looking for someone who can hit the ground running, so include specific examples of your past work that demonstrate your technical prowess and problem-solving abilities.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. Mention how your skills and experiences make you the perfect fit for the Founding Engineer role and how you can contribute to our AI-driven platform.
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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand modern data structures and algorithms. Be ready to discuss how you've used these in past projects, especially in relation to AI and cloud platforms like AWS or Azure.
✨Understand the Energy Sector
Familiarise yourself with the renewable energy landscape and the specific challenges it faces. Being able to speak knowledgeably about regulatory issues and how AI can streamline operations will show that you're not just a techie, but someone who understands the mission.
✨Show Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would architect scalable software systems or implement AI-driven analytics. This is your chance to showcase your critical thinking and innovative approach.
✨Emphasise Collaboration and Leadership
Since this role involves working closely with leadership, be ready to discuss your experience in collaborative environments. Highlight instances where you've taken ownership of projects and how you've navigated complex technical challenges in a team setting.
