At a Glance
- Tasks: Design and build cutting-edge generative AI applications for major enterprise clients.
- Company: Xcede, a forward-thinking tech company in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team with end-to-end project ownership and client interaction.
- Why this job: Lead innovative projects and make a significant impact in the AI space.
- Qualifications: Strong Python skills and 4-5 years of experience in software or AI engineering.
The predicted salary is between 70000 - 90000 € per year.
Xcede is recruiting for a role in Greater London focused on designing and building production generative AI applications for large enterprise clients. You will have end-to-end ownership of projects and serve as a technical lead within engineering teams.
The ideal candidate has strong Python engineering skills, hands-on experience with LLMs in real deployed contexts, and a minimum of 4-5 years in software or AI engineering, demonstrating confidence in client interactions.
Senior Production AI Engineer: LLMs & Enterprise Impact in London employer: Xcede
Xcede is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and hands-on experience with cutting-edge generative AI technologies. Our collaborative environment encourages creativity and empowers you to take ownership of impactful projects, making your contributions truly meaningful.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Production AI Engineer: LLMs & Enterprise Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs. We all know that hands-on experience speaks volumes, so let your work do the talking.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and AI knowledge. We recommend practising common technical questions and scenarios you might face, especially those related to generative AI applications.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Production AI Engineer: LLMs & Enterprise Impact in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python engineering skills and any hands-on experience with LLMs. We want to see how you've applied these in real-world scenarios, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. Mention specific projects where you’ve taken end-to-end ownership and how you’ve led teams. This helps us see you as a perfect fit for the role.
Be Client-Focused:Since this role involves client interactions, share examples of how you've successfully communicated technical concepts to non-technical stakeholders. We love seeing candidates who can bridge that gap!
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 Xcede
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs). Be prepared to discuss specific projects where you've implemented LLMs, the challenges you faced, and how you overcame them. This will show your hands-on experience and confidence in real deployed contexts.
✨Showcase Your Python Skills
Since strong Python engineering skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in Python. Having a few code snippets or projects to discuss can also help highlight your expertise.
✨Prepare for Client Interaction Scenarios
Given that the role involves client interactions, think about past experiences where you've successfully communicated technical concepts to non-technical stakeholders. Prepare examples that showcase your ability to bridge the gap between engineering and client needs, as this will be crucial for your success in the role.
✨Understand the Enterprise Landscape
Research the enterprise clients that Xcede works with and understand their pain points regarding generative AI applications. Being able to discuss how your skills can directly impact their business will set you apart. Tailor your responses to reflect an understanding of their industry and how you can contribute to their success.
