At a Glance
- Tasks: Design and build scalable backend systems while integrating AI features.
- Company: Join DeepRec.ai, a forward-thinking tech company in London.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a small, dynamic team influencing product development.
- Why this job: Lead innovative projects and shape the future of AI technology.
- Qualifications: 4-8 years of software engineering experience with strong Python skills.
The predicted salary is between 60000 - 80000 € per year.
DeepRec.ai is seeking a hands-on software engineer in London to design and build scalable backend systems while integrating AI features. The role emphasizes coding and leadership, requiring 4-8 years of software engineering experience and strong Python skills.
Applicants should have experience with APIs and frameworks like FastAPI, Flask, or Django, along with familiarity with cloud platforms like AWS, GCP, or Azure.
You'll join a small, product-focused team with opportunities to influence engineering direction and product development.
Senior Python Backend Engineer — AI/LLM & Systems Lead employer: DeepRec.ai
DeepRec.ai is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a focus on employee growth, we offer ample opportunities for professional development and leadership within a dynamic team dedicated to cutting-edge AI solutions. Join us to make a meaningful impact while enjoying the benefits of a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Backend Engineer — AI/LLM & Systems Lead
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a GitHub repository with projects that highlight your Python prowess and experience with frameworks like FastAPI or Flask. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills and be ready to discuss your past projects, especially how you've integrated AI features. Practice common technical questions to boost your confidence.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and helps us get to know you better.
We think you need these skills to ace Senior Python Backend Engineer — AI/LLM & Systems Lead
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used Python in past projects, especially with frameworks like FastAPI, Flask, or Django. Don't hold back on showcasing your coding prowess!
Talk About Your Leadership Experience:Since this role involves some leadership, share any experiences where you've led a team or influenced project direction. We love seeing how you can guide others while still being hands-on with the tech!
Mention Your Cloud Experience:If you've worked with cloud platforms like AWS, GCP, or Azure, make sure to mention it! We’re keen on understanding how you’ve integrated these technologies into your backend systems.
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 DeepRec.ai
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with frameworks like FastAPI, Flask, or Django, and prepare to showcase your coding abilities through practical examples or even a live coding session.
✨Showcase Your Leadership Skills
Since this role involves leadership, think of specific instances where you've led a project or team. Be prepared to discuss how you influenced engineering direction and contributed to product development in your previous roles.
✨Familiarise Yourself with AI Integration
DeepRec.ai is looking for someone who can integrate AI features into backend systems. Brush up on your knowledge of AI/LLM concepts and be ready to discuss how you've implemented similar features in past projects.
✨Cloud Platforms Are Key
As the role requires familiarity with cloud platforms like AWS, GCP, or Azure, make sure you can talk about your experience with these services. Highlight any projects where you’ve deployed applications on the cloud and the benefits it brought to your work.
