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- Tasks: Build and scale intelligent backend systems for AI-driven applications.
- Company: Join a cutting-edge AI company in the heart of London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on performance and reliability.
- Why this job: Make an impact by integrating advanced AI capabilities into innovative applications.
- Qualifications: 5–9 years of backend development experience, especially in Python and FastAPI.
The predicted salary is between 60000 - 80000 £ per year.
Weekday AI is seeking a Senior Backend Engineer to build and scale intelligent backend systems for AI-driven applications in London. You'll design robust APIs, create scalable microservices, and integrate advanced AI capabilities like Large Language Models. Collaborating with cross-functional teams, you'll focus on performance and reliability.
Ideal candidates have 5–9 years of backend development experience in Python, familiarity with FastAPI, and a strong understanding of REST APIs and microservices architecture.
Senior Backend Engineer — AI-Powered Microservices & LLMs employer: Weekday AI
Contact Detail:
Weekday AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer — AI-Powered Microservices & LLMs
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Backend Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and microservices. We want to see how you’ve tackled real-world problems, so don’t hold back!
✨Tip Number 3
Prepare for the interview like it’s the Super Bowl! Brush up on your knowledge of REST APIs and FastAPI. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
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 Senior Backend Engineer — AI-Powered Microservices & LLMs
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your backend development experience, especially with Python and FastAPI. We want to see how you've designed robust APIs and built scalable microservices in your previous roles.
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the job description. Mention your experience with AI capabilities and how you’ve collaborated with cross-functional teams.
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 achievements and skills.
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 Weekday AI
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, and REST APIs. Brush up on your knowledge of microservices architecture, as you'll likely be asked to discuss how you've implemented these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about specific examples where you've solved complex problems in backend development, especially those related to performance and reliability.
✨Understand AI Integration
Since the role involves AI-driven applications, be ready to discuss how you've integrated AI capabilities in your previous work. Familiarise yourself with Large Language Models and be prepared to share insights on their application in backend systems.
✨Collaboration is Key
Highlight your experience working with cross-functional teams. Be ready to discuss how you’ve collaborated with frontend developers, data scientists, or product managers to deliver successful projects, as teamwork will be crucial in this role.