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- Tasks: Design backend systems and implement RESTful APIs for AI safety tools.
- Company: Leading AI safety monitoring company in Greater London.
- Benefits: Competitive salary, flexible work conditions, and dynamic team environment.
- Why this job: Join a cutting-edge team and contribute to safe AI development.
- Qualifications: 4+ years experience in backend engineering and strong Python skills.
- Other info: Collaborate with researchers in an innovative and supportive atmosphere.
The predicted salary is between 42000 - 84000 £ per year.
A leading AI safety monitoring company in Greater London is looking for a Backend Engineer to create tools for safe AI agent development. The role includes designing backend systems, implementing RESTful APIs, and collaborating with researchers in a dynamic environment.
Ideal candidates will have:
- Over 4 years of experience
- Strong proficiency in Python
- Knowledge of cloud platforms like AWS
This position offers a competitive salary and flexible work conditions.
Real-Time AI Safety Monitoring Backend Engineer in London employer: COL Limited
Contact Detail:
COL Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time AI Safety Monitoring Backend Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI safety space on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Build a small project or contribute to open-source related to AI safety. It’s a great way to demonstrate your Python prowess and cloud knowledge.
✨Tip Number 3
Prepare for those interviews! Brush up on your RESTful API design and be ready to discuss how you’d tackle real-time monitoring challenges. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can give you a better shot at landing that dream role.
We think you need these skills to ace Real-Time AI Safety Monitoring Backend Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with backend systems and Python. We want to see how your skills align with the role, 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 passionate about AI safety and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since we value teamwork, mention any experiences where you’ve worked closely with researchers or cross-functional teams. Highlighting your ability to collaborate will set you apart from other candidates!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at COL Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant frameworks. Be ready to discuss your past projects in detail, especially those involving backend systems and RESTful APIs. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Understand AI Safety Principles
Since the company focuses on AI safety monitoring, it’s crucial to have a solid grasp of AI safety principles. Research common challenges in AI development and think about how your experience can contribute to creating safer AI agents.
✨Show Your Collaborative Spirit
This role involves working closely with researchers, so be prepared to discuss your teamwork experiences. Share examples of how you’ve successfully collaborated in the past, particularly in dynamic environments, to highlight your adaptability and communication skills.
✨Familiarise Yourself with Cloud Platforms
As knowledge of cloud platforms like AWS is essential, take some time to review your experience with these technologies. Be ready to explain how you’ve used cloud services in previous roles and how they can enhance backend system performance.
