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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 mission-driven team to enhance AI safety and innovation.
- Qualifications: 4+ years experience in backend development, strong Python skills, AWS knowledge.
- Other info: Collaborate with researchers in a fast-paced, impactful setting.
The predicted salary is between 43200 - 72000 £ 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 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
✨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! Create a GitHub repo with projects that highlight your Python prowess and cloud experience. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on RESTful APIs and backend design principles. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Real-Time AI Safety Monitoring Backend Engineer
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 cloud platforms like AWS. Be ready to discuss your past projects in detail, especially those that involved backend systems and RESTful APIs. This will show them you’re not just familiar with the tech, but you can also apply it effectively.
✨Showcase Your Collaboration Skills
Since the role involves working closely with researchers, be prepared to talk about your experience in collaborative environments. Share examples of how you’ve successfully worked in teams, tackled challenges together, and contributed to a project’s success. This will highlight your ability to thrive in a dynamic setting.
✨Prepare for Problem-Solving Questions
Expect some technical questions that test your problem-solving abilities. Practice coding challenges or system design scenarios related to AI safety monitoring. This will help you think on your feet and demonstrate your analytical skills during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or future goals in AI safety. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
