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- Tasks: Build core APIs, scale infrastructure, and create user-friendly tools in a dynamic AI startup.
- Company: Cutting-edge AI startup located in the heart of London.
- Benefits: Competitive salary, health insurance, hybrid work, and employee share options.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Strong expertise in TypeScript, React, and API design required.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 65000 - 100000 £ per year.
A cutting-edge AI startup in the City of London is looking for a full-stack engineer to build core APIs, scale infrastructure, and develop user-friendly tools.
Candidates should have strong expertise in TypeScript, React, and API design.
The role offers a competitive salary range of £65K – £100K and a hybrid work environment with additional benefits including health insurance and employee share options.
Full-Stack AI Platform Engineer – Scale & Reliability in London employer: StackOne
Contact Detail:
StackOne Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack AI Platform Engineer – Scale & Reliability in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech scene, especially those who work at startups. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TypeScript, React, and API design. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design principles. We recommend practicing common algorithms and data structures to ace those tricky questions.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Full-Stack AI Platform Engineer – Scale & Reliability in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in TypeScript, React, and API design in your application. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to building core APIs and scaling infrastructure. It’ll make you stand out to us!
Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your passion for AI and how you envision contributing to our team. We’re all about finding the right fit!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands!
How to prepare for a job interview at StackOne
✨Know Your Tech Stack
Make sure you brush up on your TypeScript and React skills before the interview. Be ready to discuss your previous projects where you've used these technologies, and think about how you can apply them to build core APIs and user-friendly tools for the company.
✨Understand API Design
Since the role involves API design, take some time to review best practices and common pitfalls. Prepare to talk about your experience with API development, including any challenges you've faced and how you overcame them. This will show your depth of knowledge and problem-solving skills.
✨Showcase Your Scaling Experience
The company is looking for someone who can scale infrastructure effectively. Think of examples from your past work where you successfully scaled a system or application. Be ready to explain your thought process and the impact of your decisions on performance and reliability.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's tech stack, their approach to scaling, and how they ensure reliability in their systems. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.