At a Glance
- Tasks: Shape and enhance the Xapien pipeline with LLM research and system performance improvements.
- Company: Join Xapien, a forward-thinking tech company in Greater London.
- Benefits: Enjoy private health insurance, unlimited holidays, and a professional development fund.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in AI while enjoying significant ownership of your projects.
- Qualifications: Fluency in Claude Code and experience with production-level LLM systems required.
The predicted salary is between 60000 - 80000 £ per year.
Xapien is looking for a talented individual to join their team in Greater London. You will have the opportunity to shape and improve parts of the Xapien pipeline, focusing on LLM research and refining system performance.
The ideal candidate is fluent in Claude Code, has strong numerical reasoning, and has experience in shipping production-level LLM systems. This position offers a collaborative environment and significant ownership of your work.
Benefits include private health insurance, unlimited holidays, and a professional development fund.
Senior Applied AI Engineer — Real-Time LLM & Risk Insight, Equity in London employer: Xapien
Xapien is an exceptional employer located in Greater London, offering a dynamic and collaborative work environment where you can take significant ownership of your projects. With benefits such as private health insurance, unlimited holidays, and a dedicated professional development fund, Xapien prioritises employee well-being and growth, making it an ideal place for those seeking meaningful and rewarding employment in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI Engineer — Real-Time LLM & Risk Insight, Equity in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work at Xapien or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve worked on LLM systems or have projects that demonstrate your expertise, make sure to highlight them in conversations or during interviews. We love seeing real-world applications of your knowledge.
✨Tip Number 3
Prepare for technical interviews by brushing up on your numerical reasoning and coding skills. Practice common algorithms and data structures, and don’t forget to review Claude Code specifics. We want to see you shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Xapien. Let’s get you on board!
We think you need these skills to ace Senior Applied AI Engineer — Real-Time LLM & Risk Insight, Equity in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLM systems and numerical reasoning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at Xapien and how you can contribute to improving the pipeline. Let your personality come through!
Showcase Your Projects:If you've worked on production-level LLM systems, share specific examples in your application. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Xapien
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models, especially Claude Code. Be ready to discuss your previous experiences with LLM systems and how you've contributed to their performance in production.
✨Show Off Your Numerical Skills
Since strong numerical reasoning is key for this role, prepare to tackle some numerical problems during the interview. Practise explaining your thought process clearly, as this will demonstrate your analytical abilities.
✨Emphasise Collaboration
Xapien values a collaborative environment, so be prepared to share examples of how you've worked effectively in teams. Highlight any projects where you took ownership and how you contributed to the team's success.
✨Ask Insightful Questions
Prepare thoughtful questions about Xapien's pipeline and future projects. This shows your genuine interest in the role and helps you understand how you can make a meaningful impact within the team.
