Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and scale intelligent backend systems for AI-driven applications.
- Company: Join a leading tech firm in London with a focus on innovation.
- Benefits: Attractive salary, full-time role, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on high-performance and scalable solutions.
- Why this job: Shape the future of AI technology while working with cutting-edge tools.
- Qualifications: 5-9 years of backend experience, strong Python skills, and knowledge of LLMs.
This role is for one of the Weekday's clients.
Salary range: Rs 13000000 - Rs 16000000 (ie INR 130-160 LPA)
Min Experience: 5 years
Location: London
Job Type: full-time
We are seeking a Senior Backend Engineer to build and scale intelligent backend systems powering AI-driven applications. This role focuses on designing robust APIs, developing scalable microservices, and integrating advanced AI capabilities such as Large Language Models (LLMs) and agentic workflows into production environments. You will play a key role in shaping backend architecture, enabling seamless communication between systems, and ensuring high performance, reliability, and scalability. Working closely with product, AI, and engineering teams, you will help translate complex requirements into efficient, production-ready solutions.
Key Responsibilities
- Design and develop scalable backend systems using Python and modern frameworks like FastAPI
- Build and maintain RESTful APIs and microservices architecture for high-performance applications
- Integrate and operationalize LLMs and agentic AI workflows into backend systems
- Collaborate with AI/ML teams to deploy and optimize intelligent features in production
- Work with databases such as PostgreSQL, MongoDB, and Redis for efficient data handling
- Ensure system reliability, performance optimization, and scalability across services
- Contribute to architectural decisions and evaluate trade-offs for backend design
- Collaborate with cross-functional teams to deliver end-to-end product features
- Troubleshoot, debug, and resolve complex production issues
- Follow best practices in code quality, testing, and deployment
What Makes You a Great Fit
- 5-9 years of backend development experience with strong proficiency in Python
- Hands-on experience with FastAPI or similar frameworks (Flask/Django)
- Practical experience working with Large Language Models (LLMs) and AI-driven systems
- Understanding of agentic AI concepts or autonomous workflows
- Strong knowledge of REST APIs, microservices architecture, and distributed systems
- Experience with databases like PostgreSQL, MongoDB, and Redis
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Strong problem-solving and debugging skills
- Ability to design scalable, maintainable, and high-performance backend systems
- Effective communication and collaboration skills in cross-functional environments
Backend Engineer employer: Weekday AI (YC W21)
Contact Detail:
Weekday AI (YC W21) 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 your connections in the tech industry, especially those who work with AI and backend systems. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, FastAPI, and LLMs. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. Practice common backend engineering problems and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented backend engineers like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Backend Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Backend Engineer. Highlight your experience with Python, FastAPI, and any work you've done with LLMs or microservices. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about backend development and how your experience aligns with our needs. Don't forget to mention any collaborative projects you've worked on with AI/ML teams.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your skills in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Weekday AI (YC W21)
✨Know Your Tech Stack
Make sure you’re well-versed in Python and frameworks like FastAPI. Brush up on your knowledge of REST APIs and microservices architecture, as these will be crucial in the interview. Be ready to discuss your past projects and how you’ve implemented these technologies.
✨Showcase Your AI Experience
Since the role involves integrating AI capabilities, prepare to talk about your experience with Large Language Models and agentic workflows. Have specific examples ready that demonstrate how you've operationalised AI features in previous roles.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice common backend engineering problems and be ready to explain your thought process. This will showcase your problem-solving skills and ability to debug complex issues.
✨Emphasise Collaboration Skills
This role requires working closely with cross-functional teams. Be prepared to discuss how you’ve collaborated with product, AI, and engineering teams in the past. Highlight any successful projects where teamwork was key to achieving results.