At a Glance
- Tasks: Design and build LLM-powered applications and develop Python-based microservices.
- Company: Join a leading AI lab transforming industries with Generative AI.
- Benefits: Competitive salary, dynamic projects, and opportunities for mentorship.
- Other info: Exciting career growth in a collaborative environment.
- Why this job: Be part of a rapidly growing team making a real impact in AI.
- Qualifications: 3+ years in software engineering with expertise in LLM integration.
The predicted salary is between 60000 - 80000 € per year.
Xcede have started working with a frontier AI lab who help large organisations design, build, and deploy real-world Generative AI systems. They work with very well-known brands and generate multi‐million‐pound revenues! Wanting to grow their UK team from 150 Engineers to 300, they urgently need new capable engineers.
Their ideal candidate will have a software engineering background who is now an AI Engineer working with LLMs.
You will:
- Design and build LLM-powered applications
- Develop Python-based microservices
- Build AI agents and workflows
- Integrate models into production systems
- Work on multiple client projects
- Lead delivery on some engagements
- Review code and mentor engineers
Requirements:
- At least 3 years enterprise experience
- Proficiency in LLM integration into applications, deployment and product ionisation
- Proficiency with python
- Having built microservices
If you are interested in this or other AI Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861
Senior AI Engineer in London employer: LinkedIn
Xcede is an exceptional employer, offering a dynamic work environment where innovation thrives and engineers can significantly impact the future of Generative AI. With a strong focus on employee growth, mentorship, and collaboration, team members are encouraged to develop their skills while working on high-profile projects with renowned brands. Located in the UK, the company fosters a culture of creativity and excellence, making it an ideal place for talented engineers looking to advance their careers in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and microservices. This will help you stand out and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practice explaining your past projects and how you've integrated models into production systems.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting AI Engineering positions waiting for talented folks like you. It's a great way to get noticed and land that dream job!
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLMs and Python. We want to see how your background in software engineering translates into AI engineering, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about working with generative AI and how your skills can help us grow. Be genuine and let your passion for AI come through.
Showcase Your Projects:If you've built any microservices or worked on AI applications, make sure to mention them! We love seeing real-world 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 keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at LinkedIn
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss how you've integrated them into applications and any challenges you've faced. This will show that you're not just familiar with the tech, but that you can also apply it effectively.
✨Showcase Your Python Skills
Since proficiency in Python is a must-have, prepare to demonstrate your coding skills. You might be asked to solve a problem or even review some code. Practise writing clean, efficient code and be ready to explain your thought process as you go.
✨Highlight Your Microservices Experience
Be prepared to talk about your experience building microservices. Share specific examples of projects where you've designed and deployed these services, and discuss how they fit into larger systems. This will help the interviewers see your practical experience in action.
✨Prepare for Client Engagement Scenarios
Since you'll be working on multiple client projects, think about past experiences where you've led delivery or mentored other engineers. Prepare anecdotes that showcase your leadership skills and ability to manage client expectations, as this will be crucial for the role.
