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For Companies At a Glance
- Tasks: Build core backend systems and design scalable data pipelines.
- Company: Early-stage AI platform company in London with a focus on impact.
- Benefits: Competitive compensation, equity, relocation support, and direct access to founders.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: 4+ years of backend experience and strong Python skills.
- Other info: Thriving environment with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
An early-stage AI platform company in London is seeking a Founding Engineer to build core backend systems from the ground up. This role offers the chance to design scalable data pipelines and collaborate with machine learning teams.
Candidates should have:
- 4+ years of backend experience
- Strong Python skills
- Comfort in high-growth environments
You will enjoy competitive compensation plus equity, relocation support, and direct access to founders.
Founding Backend Engineer (Python) – Equity & Impact in City of London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Backend Engineer (Python) – Equity & Impact in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your best Python projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practicing common backend engineering questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 Founding Backend Engineer (Python) – Equity & Impact in City of London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python experience in your application. We want to see how you've used Python in past projects, especially in backend development. Don't hold back on showcasing any cool data pipelines or systems you've built!
Tailor Your Application: Take a moment to customise your application for this role. We love seeing candidates who understand our mission and can connect their experience to what we’re building at StudySmarter. A little personal touch goes a long way!
Share Your Growth Mindset: Since we're in a high-growth environment, let us know how you've adapted to change in previous roles. We appreciate candidates who are flexible and eager to learn, so share any experiences that demonstrate your growth mindset.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen to join the StudySmarter team!
How to prepare for a job interview at Jobster
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems. Practising coding challenges can also help you demonstrate your technical prowess.
✨Understand the Company’s Vision
Research the AI platform company thoroughly. Understand their mission, values, and the impact they aim to create. This will not only help you answer questions more effectively but also show your genuine interest in being part of their journey.
✨Prepare for System Design Questions
As a Founding Backend Engineer, you'll likely face system design questions. Think about how you would build scalable data pipelines and be prepared to explain your thought process. Use real-world examples from your experience to illustrate your approach.
✨Show Your Collaborative Spirit
Since this role involves working closely with machine learning teams, highlight your teamwork skills. Share examples of how you've successfully collaborated with cross-functional teams in the past, and be ready to discuss how you can contribute to a high-growth environment.
