At a Glance
- Tasks: Shape and enhance the Xapien pipeline with a focus on LLM research.
- Company: Join an innovative team at Xapien in Greater London.
- Benefits: Enjoy private health insurance, unlimited holidays, and a professional development fund.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Take ownership of your work and make a real impact in AI.
- Qualifications: Fluency in Claude Code and experience with production-level LLM systems.
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 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
✨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 open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've worked on LLM systems or have relevant projects, create a portfolio or GitHub repo to showcase your work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your numerical reasoning and Claude Code skills. Practice common technical questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Applied AI Engineer — Real-Time LLM & Risk Insight, Equity
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 the team. Let us know what makes you tick!
Showcase Your Projects:If you've worked on any production-level LLM systems, make sure to mention them! We love seeing real examples of your work, so include links or descriptions that demonstrate your expertise.
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.
✨Showcase Your Numerical Reasoning Skills
Prepare to demonstrate your numerical reasoning abilities during the interview. You might be asked to solve problems or analyse data on the spot, so practice some relevant exercises beforehand to feel confident.
✨Emphasise Collaboration and Ownership
Xapien values a collaborative environment, so be prepared to share examples of how you've worked effectively in teams. Highlight instances where you've taken ownership of projects and driven them to success.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current challenges with LLM systems or how they envision the future of AI at Xapien. This shows you're engaged and thinking ahead.
