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- Tasks: Enhance AI recruiting agent 'Sherlock' by improving models and data sources.
- Company: Join Collective.work, a fast-growing company in London.
- Benefits: Equity options, competitive salary, and work with cutting-edge AI technology.
- Other info: Permanent onsite position with great career growth potential.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in TypeScript and a proactive attitude required.
The predicted salary is between 80000 - 150000 £ per year.
Collective.work is looking for an AI Engineer to enhance their AI recruiting agent 'Sherlock' in London. The role involves working closely with engineering and the CTO, adding evaluations, changing models, and improving data sources.
Requires experience in TypeScript and a proactive attitude.
Benefits include equity in a fast-growing company and opportunities to work with cutting-edge AI technology. This is a permanent, onsite position with a salary range of 80K–150K €.
AI Engineer – Agentic Search (Equity & Impact) in London employer: Collective.work
Contact Detail:
Collective.work Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer – Agentic Search (Equity & Impact) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Collective.work. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects showcasing your TypeScript expertise and AI knowledge, make sure to highlight them during interviews. We love seeing real-world applications of your work!
✨Tip Number 3
Prepare for technical challenges! Brush up on your problem-solving skills and be ready to tackle some coding tasks. We want to see how you think and approach challenges, so practice makes perfect!
✨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 our team at Collective.work.
We think you need these skills to ace AI Engineer – Agentic Search (Equity & Impact) in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let us see your enthusiasm for AI and how it can impact recruiting. Share any personal projects or experiences that highlight your skills in this area.
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with TypeScript and any relevant projects you've worked on that align with what we're looking for.
Be Proactive in Your Approach: We love a proactive attitude! In your application, mention how you've taken initiative in past roles or projects. This will show us that you’re ready to jump in and make a difference with Sherlock.
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 this exciting opportunity with Collective.work.
How to prepare for a job interview at Collective.work
✨Know Your Tech
Make sure you brush up on your TypeScript skills before the interview. Be ready to discuss your previous projects and how you've used TypeScript to solve problems. This will show that you're not just familiar with the language, but that you can apply it effectively in real-world scenarios.
✨Understand the Role
Take the time to really understand what the AI Engineer role at Collective.work entails. Familiarise yourself with their AI recruiting agent 'Sherlock' and think about how you can contribute to its enhancement. This will help you ask insightful questions and demonstrate your genuine interest in the position.
✨Show Your Proactive Attitude
Since the job requires a proactive attitude, come prepared with examples of how you've taken initiative in past roles. Whether it's improving a process or leading a project, showcasing your ability to take charge will resonate well with the interviewers.
✨Prepare for Technical Questions
Expect technical questions related to AI, data sources, and model evaluation. Brush up on relevant concepts and be ready to explain your thought process. Practising coding challenges or discussing case studies can also help you feel more confident during the technical part of the interview.