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- Tasks: Build and scale intelligent backend systems for AI-driven applications.
- Company: Weekday AI, a leader in innovative AI technology.
- 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: Join a dynamic team and work on cutting-edge AI projects that make a difference.
- 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other backend engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, FastAPI, and microservices. 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 knowledge of REST APIs and AI integrations. Practice coding challenges and system design questions to demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Senior Backend Engineer — AI-Powered Microservices & LLMs in London
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 clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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!
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 or optimised backend systems. Be ready to explain your thought process clearly.
✨Understand AI Integration
Since the role involves AI-driven applications, familiarise yourself with Large Language Models and how they can be integrated into backend systems. Being able to discuss this will show your enthusiasm and relevance to the position.
✨Collaborate and Communicate
As you'll be working with cross-functional teams, practice articulating your ideas and collaborating effectively. Prepare for questions about teamwork and how you handle feedback, as this is crucial for success in the role.