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- Tasks: Design and maintain high-performance back-end systems for advanced AI applications.
- Company: Leading tech company focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of Generative AI technology.
- Qualifications: 5+ years of Python experience and familiarity with FastAPI.
- Other info: Collaborative environment with a focus on scalable and efficient solutions.
The predicted salary is between 43200 - 72000 £ per year.
A technology company specializing in data solutions is looking for a skilled Back-End Engineer to join their Generative AI team. The role involves designing and maintaining high-performance back-end systems that support advanced AI applications.
Candidates should have 5+ years of experience with Python and frameworks like FastAPI. This position offers an opportunity to work on cutting-edge technology that enhances GenAI products. Collaboration with cross-functional teams is essential to deliver scalable and efficient solutions.
GenAI Backend Engineer — Scalable AI Infrastructure employer: Neo4j
Contact Detail:
Neo4j Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Backend Engineer — Scalable AI Infrastructure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI or back-end development. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and FastAPI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design principles. Practising common back-end scenarios will help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace GenAI Backend Engineer — Scalable AI Infrastructure
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and FastAPI in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background fits into our Generative AI team and how you can contribute to building scalable AI infrastructure.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your qualifications.
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 in our tech team!
How to prepare for a job interview at Neo4j
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with FastAPI. Be ready to discuss your past projects and how you've used these technologies to build scalable back-end systems. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you worked closely with front-end developers, data scientists, or product managers to deliver a project.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice solving coding problems or system design questions that relate to AI applications. This will not only show your problem-solving skills but also your ability to think critically under pressure.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the technology stack they use, or how they measure success in their AI initiatives. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
