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- Tasks: Lead backend engineering for an AI-driven data platform using Python and FastAPI.
- Company: Major tech company in Greater London with a startup culture.
- Benefits: Enjoy a dynamic work environment with great resources and support.
- Why this job: Make a real impact on cutting-edge AI projects while growing your skills.
- Qualifications: 3+ years of backend experience and a passion for data and AI.
- Other info: Join a team that values innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A major technology company in Greater London is seeking a Python Developer to lead backend engineering initiatives for their new intelligence platform. The role involves designing scalable APIs using a modern tech stack, including Python, FastAPI, and Postgres.
Candidates should have 3+ years of backend experience and a strong background in data and AI-driven projects. This position offers the benefits of startup culture while leveraging the resources of an established organization.
Backend Python Engineer for AI-Driven Data Platform employer: Global
Contact Detail:
Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Python Engineer for AI-Driven Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the tech community, especially those working with Python and AI. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your backend projects, especially those involving APIs and data-driven applications. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common Python problems and be ready to discuss your experience with FastAPI and Postgres. We want you to shine!
✨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 are proactive about their job search.
We think you need these skills to ace Backend Python Engineer for AI-Driven Data Platform
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in past projects, especially in backend development and AI-driven initiatives.
Talk About Your API Experience: Since you'll be designing scalable APIs, it's crucial to mention any relevant experience you have. We love seeing examples of how you've tackled similar challenges in your previous roles.
Be Data-Driven: Given our focus on data and AI, don't forget to showcase your background in these areas. Share specific projects or achievements that demonstrate your expertise and passion for working with data.
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 Global
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, and Postgres. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your AI Experience
Since this role focuses on AI-driven projects, prepare examples of your previous work in this area. Be ready to explain how you’ve integrated AI into backend systems and the impact it had on the overall project. This will demonstrate your relevance to the position.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice coding challenges or system design scenarios related to backend engineering. This will help you think on your feet and showcase your analytical abilities during the interview.
✨Embrace the Startup Culture
Familiarise yourself with the startup culture and be prepared to discuss how you thrive in dynamic environments. Share experiences where you’ve adapted quickly or taken initiative in previous roles. This will highlight your fit for a company that values innovation and agility.