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- Tasks: Build core infrastructure for real-time data processing and develop analytics APIs.
- Company: Exciting AI startup in London with a focus on innovation.
- Benefits: Competitive salary, equity options, and a collaborative work culture.
- Why this job: Join a pioneering team and shape the future of AI analytics.
- Qualifications: 3+ years in backend systems, strong Python skills, and reliability passion.
The predicted salary is between 60000 - 80000 £ per year.
A startup focused on AI infrastructure in London is seeking a Founding Python Back-End Engineer. In this role, you will build core infrastructure for processing real-time data streams and develop APIs for analytics.
Ideal candidates will have:
- 3+ years of experience in backend systems
- Strong Python skills
- A passion for reliability
The position offers a competitive salary, equity options, and a collaborative work environment.
Founding Python Backend Engineer — Real-Time AI Analytics employer: SEEKR
Contact Detail:
SEEKR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Python Backend Engineer — Real-Time AI Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at startups. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a GitHub repository with projects that highlight your Python prowess and backend experience. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and system design. We recommend practicing coding challenges on platforms like LeetCode or HackerRank to get into the groove.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Founding Python Backend Engineer — Real-Time AI Analytics
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in past projects, especially in backend systems. Don't hold back on showcasing your experience!
Talk About Real-Time Data: Since we're all about processing real-time data streams, share any relevant experiences you have with this. Whether it's through previous jobs or personal projects, let us know how you've tackled similar challenges.
Be Passionate About Reliability: We value reliability in our systems, so express your passion for building dependable applications. Share examples of how you've ensured reliability in your work and why it matters to you.
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 us. We can’t wait to hear from you!
How to prepare for a job interview at SEEKR
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with backend systems and any specific frameworks you've used. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Real-Time Data Processing
Since this role involves processing real-time data streams, it’s crucial to familiarise yourself with relevant technologies and concepts. Be prepared to talk about your experience with data pipelines, streaming platforms, or any projects where you handled real-time analytics.
✨Show Your Passion for Reliability
The company is looking for someone who values reliability in their work. Think of examples from your past experiences where you ensured system stability or improved performance. Sharing these stories will show that you align with their values.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about their tech stack, team dynamics, or how they approach challenges in AI infrastructure. This not only demonstrates your enthusiasm but also helps you gauge if it's the right fit for you.