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- Tasks: Drive UI evolution and enhance user interfaces using Next.js.
- Company: Leading energy data platform based in London.
- Benefits: Competitive salary, 25 days annual leave, and private healthcare.
- Other info: Opportunity to work in a dynamic environment with career growth potential.
- Why this job: Join a forward-thinking team and shape the future of AI-enhanced development.
- Qualifications: Over 3 years of frontend experience and strong UI/UX skills.
The predicted salary is between 50000 - 65000 £ per year.
A leading energy data platform in London is seeking a Front End Engineer to drive the architectural evolution of their UI. You will define design patterns, enhance user interfaces using Next.js, and guide the team's best practices for AI-enhanced development.
The ideal candidate possesses over 3 years of frontend experience, strong UI/UX skills, and a solid understanding of testing principles.
This position offers a competitive salary and attractive benefits including 25 days of annual leave and private healthcare.
Frontend Engineer: AI & LLM Data Platforms employer: Modo Energy
Contact Detail:
Modo Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Frontend Engineer: AI & LLM Data Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best frontend projects, especially those using Next.js. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your UI/UX knowledge and testing principles. Be ready to discuss how you've applied these in past projects, as this will demonstrate your expertise and fit for the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Frontend Engineer: AI & LLM Data Platforms
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your frontend experience and any projects you've worked on that showcase your UI/UX skills. We want to see how you’ve used Next.js or similar technologies in your past roles!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention your experience with AI-enhanced development and testing principles to show us you’re the perfect fit.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your qualifications and experiences.
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 from our team!
How to prepare for a job interview at Modo Energy
✨Know Your Tech Stack
Make sure you’re well-versed in Next.js and any other relevant technologies mentioned in the job description. Brush up on your frontend skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your UI/UX Skills
Prepare examples of your previous work that highlight your UI/UX design capabilities. Be ready to explain your design choices and how they improved user experience, as this will demonstrate your understanding of user-centric development.
✨Understand Testing Principles
Since a solid understanding of testing principles is crucial for this role, review common testing frameworks and methodologies. Be prepared to discuss how you’ve implemented testing in your projects to ensure quality and reliability.
✨Discuss Architectural Evolution
Think about how you would approach the architectural evolution of a UI. Be ready to share your thoughts on best practices for AI-enhanced development and how you would guide a team in implementing these strategies.