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- Tasks: Design and develop scalable backend systems using Python and FastAPI.
- Company: Join a fast-growing, innovative tech company with global reach.
- Benefits: Competitive salary, visa sponsorship, and opportunities for international relocation.
- Other info: Dynamic, fast-paced environment with excellent career growth potential.
- Why this job: Work on cutting-edge AI technologies and make a real impact in automation solutions.
- Qualifications: 5-9 years of backend development experience, strong Python skills, and knowledge of microservices.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Backend Engineer with strong expertise in Python and FastAPI to build scalable, high-performance systems in an AI-driven environment. This role focuses on developing backend services that power intelligent automation solutions, particularly in areas involving Large Language Models (LLMs) and agentic AI systems.
You will be responsible for designing robust APIs, building microservices, and integrating advanced AI capabilities into production-grade applications. The role offers an opportunity to work on cutting-edge technologies in a fast-growing, global setup, with the added benefit of relocating to an international office with visa sponsorship.
Key Responsibilities- Design, develop, and maintain backend systems using Python and FastAPI
- Build scalable REST APIs and microservices for high-performance applications
- Integrate LLMs and agentic AI capabilities into backend workflows
- Collaborate with product, AI/ML, and frontend teams to deliver end-to-end solutions
- Ensure system scalability, reliability, and performance through best practices
- Debug, troubleshoot, and resolve complex technical issues
- Write clean, maintainable, and well-documented code
- Contribute to system architecture and backend design decisions
- Support deployment, monitoring, and continuous improvement of services
- 5–9 years of experience in backend development
- Strong proficiency in Python and hands-on experience with FastAPI
- Solid understanding of APIs, microservices architecture, and scalable system design
- Exposure to LLMs, AI systems, or agentic workflows is a strong advantage
- Experience working with cloud-based environments and modern backend stacks
- Strong problem-solving and debugging skills
- Ability to work in a fast-paced, product-focused environment
- Good communication and collaboration skills
- Willingness to relocate for an onsite international role
Backend Engineer employer: Weekday AI
Contact Detail:
Weekday AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer
✨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 land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and FastAPI. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios to boost your confidence.
✨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 Backend Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and FastAPI. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in backend development makes you a perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled complex technical issues. We love seeing how you approach challenges, especially in high-performance environments like ours!
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’re considered for this exciting opportunity to join our global team!
How to prepare for a job interview at Weekday AI
✨Know Your Tech Stack Inside Out
Make sure you brush up on your Python and FastAPI skills before the interview. Be ready to discuss your past projects where you've built scalable systems or APIs, and be prepared to explain your thought process behind design decisions.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think of examples from your experience where you debugged complex issues or improved system performance. This will demonstrate your ability to think critically and solve problems effectively.
✨Understand AI Integration
Since the role involves working with LLMs and agentic AI systems, do some research on how these technologies can be integrated into backend workflows. Being able to discuss this knowledgeably will set you apart from other candidates.
✨Communicate and Collaborate
Highlight your teamwork skills during the interview. Be ready to share experiences where you collaborated with product, AI/ML, or frontend teams. Good communication is key in a fast-paced environment, so show that you can work well with others.