At a Glance
- Tasks: Lead AI transformation and develop innovative energy solutions for a high-growth startup.
- Company: Join a CapitalT-backed energy intelligence platform disrupting the utility sector.
- Benefits: Competitive salary, £500k equity, and the chance to shape the future of energy.
- Other info: Work directly with founders and enjoy significant career growth opportunities.
- Why this job: Be a key player in a fast-growing company making a real environmental impact.
- Qualifications: 3-6 years in software engineering or data, with experience in LLMs or Machine Learning.
The predicted salary is between 60000 - 84000 € per year.
Join as the first AI Engineer for a high‑growth London startup generating £20k+ MRR with 150% NRR. You will lead the transformation of a successful SaaS product into an AI‑native platform, building autonomous market arbitrage systems and hardware‑free energy intelligence to help multi‑site operators drastically reduce waste and costs.
Why this role is remarkable:
- Lead the AI evolution of a business with 22% month‑over‑month growth and proven product‑market fit serving UK and French markets.
- Work directly with founders as employee #4 with a significant £500k equity package and direct influence on technical architecture.
- Build sustainable technology that delivers immediate 28‑43% energy cost reductions, creating massive environmental and financial impact for hospitality and retail.
What You Will Do:
- Develop agentic systems for autonomous market arbitrage that monitor energy markets 24/7 to execute optimal contract renewals.
- Engineer Zero‑Hardware Intelligence using NILM to disaggregate electrical loads and identify specific appliance energy usage without sub‑meters.
- Build automated anomaly detection and leak waste systems that benchmark sites and trigger proactive work orders for operators.
The Ideal Candidate:
- Has 3‑6 years of experience in software engineering, data, or product management within high‑growth tech companies or scale‑ups.
- Possesses hands‑on experience shipping production code involving LLMs or Machine Learning models in customer‑facing environments.
- Demonstrates a forward‑deployed mindset with the ability to scope, build, and iterate on complex technical solutions directly with users.
AI Engineer (£60k-£84k + £500k Equity) at CapitalT-backed energy intelligence platform in London employer: Jack & Jill
As a pioneering energy intelligence platform based in London, we offer an exceptional opportunity for growth and innovation as the first AI Engineer. Our dynamic work culture fosters collaboration with founders and provides significant equity potential, while our commitment to sustainability empowers you to make a tangible impact on reducing energy costs and waste in the hospitality and retail sectors.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (£60k-£84k + £500k Equity) at CapitalT-backed energy intelligence platform in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that highlight your experience with AI and software engineering, make sure to share them. A practical demonstration of your abilities can speak volumes.
✨Tip Number 3
Prepare for the interview by understanding the company's mission and how your role fits into it. Tailor your answers to show how you can contribute to their growth and innovation in energy intelligence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Engineer (£60k-£84k + £500k Equity) at CapitalT-backed energy intelligence platform in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and its potential shine through. We want to see how you can contribute to our mission of transforming energy intelligence, so share any relevant projects or experiences that highlight your passion.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience in software engineering and any hands-on work with LLMs or Machine Learning models. We love seeing how your skills align with what we're looking for!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the AI Engineer position. Remember, less is often more!
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 this exciting opportunity. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Jack & Jill
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning models. Be ready to discuss your hands-on experience with LLMs or any relevant projects you've worked on. This role is all about transforming a SaaS product into an AI-native platform, so showing your expertise will definitely impress.
✨Understand the Company’s Mission
Familiarise yourself with the energy intelligence sector and the specific challenges it faces. CapitalT-backed companies are all about innovation, so understanding how your role as an AI Engineer can contribute to reducing waste and costs will show that you're genuinely interested in making an impact.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your engineering skills. Be prepared to explain your approach to building autonomous systems and how you would tackle problems like anomaly detection. Practising coding challenges or system design questions can help you feel more confident.
✨Show Your Collaborative Side
As the first AI Engineer, you'll be working closely with the founders and other team members. Highlight your ability to collaborate and iterate on complex solutions directly with users. Share examples from your past experiences where teamwork led to successful outcomes, especially in high-growth environments.
