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- Tasks: Design scalable backend systems and lead cross-team initiatives for our AI platform.
- Company: Join Pleo, a dynamic team of over 850 dedicated to effective spend management.
- Benefits: Enjoy hybrid working options and a collaborative work environment.
- Other info: Be part of a forward-thinking company with exciting growth opportunities.
- Why this job: Make a real impact on AI technology while shaping the future of spend management.
- Qualifications: Experience in backend system architecture, API design, and observability required.
The predicted salary is between 70000 - 90000 £ per year.
Pleo is hiring a Staff Engineer to join the GenAI Core team, responsible for setting the technical direction for our AI platform. This role involves designing scalable backend systems, leading cross-team initiatives, and ensuring system reliability.
Ideal candidates will have experience in:
- Backend system architecture
- API design
- Observability
Join a dynamic team of over 850 individuals committed to making spend management effective and empowering, with the added flexibility of hybrid working options.
Staff Engineer, GenAI Core — Build Scalable AI Platform in London employer: Pleo
Contact Detail:
Pleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer, GenAI Core — Build Scalable AI Platform in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Pleo on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to backend systems or API design, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for technical challenges! Brush up on system architecture and observability concepts. Practising common interview questions can help you feel more confident when discussing your experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Pleo team.
We think you need these skills to ace Staff Engineer, GenAI Core — Build Scalable AI Platform in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and backend systems. Share any personal projects or experiences that highlight your skills in designing scalable systems and API development.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant experience in backend system architecture and observability. We want to see how your background aligns with our needs at Pleo!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and achievements. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Pleo
✨Know Your Tech Inside Out
Make sure you’re well-versed in backend system architecture and API design. Brush up on the latest trends in AI platforms and be ready to discuss how you can contribute to Pleo's GenAI Core team with your technical expertise.
✨Showcase Your Leadership Skills
Since this role involves leading cross-team initiatives, prepare examples of past experiences where you successfully led a project or initiative. Highlight your ability to collaborate and communicate effectively with different teams.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle hypothetical scenarios related to system reliability and scalability. Think through your approach to problem-solving and articulate your thought process clearly during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about Pleo’s current projects and future goals for the GenAI Core team. This shows your genuine interest in the role and helps you understand how you can fit into their vision.