At a Glance
- Tasks: Design and deploy cutting-edge AI applications using LLMs.
- Company: Join a growing consultancy in London with a focus on innovation.
- Benefits: Enjoy competitive salary, quarterly bonuses, and comprehensive employee benefits.
- Other info: Hybrid work model with opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Strong Python skills and experience with cloud platforms like AWS or Azure.
The predicted salary is between 60000 - 80000 € per year.
MBN Solutions is seeking an AI Engineer to join their growing consultancy in London. The role focuses on designing and deploying production-grade AI applications powered by LLMs.
Candidates should have strong software engineering skills in Python and experience with cloud platforms such as AWS, Azure, or GCP.
The position is hybrid, offering a competitive salary package, quarterly bonuses, and various employee benefits including training budgets and private medical insurance.
Production AI Engineer — Enterprise LLM Apps (Hybrid) in London employer: MBN Solutions
MBN Solutions is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer comprehensive training budgets and a competitive salary package, alongside quarterly bonuses and private medical insurance, ensuring our team members thrive both personally and professionally in their roles as AI Engineers.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Engineer — Enterprise LLM Apps (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with LLMs. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and cloud platforms like AWS or Azure. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Production AI Engineer — Enterprise LLM Apps (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your software engineering skills in Python and any experience with cloud platforms like AWS, Azure, or GCP. We want to see how your background aligns with the role of an AI Engineer!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our team. Share specific examples of your past projects that showcase your skills in designing and deploying AI applications.
Showcase Your Projects:If you've worked on any production-grade AI applications, make sure to mention them! We love seeing real-world examples of your work, so include links or descriptions of your projects to give us a taste of what you can do.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with cloud platforms like AWS, Azure, or GCP. Be prepared to share specific examples of projects you've worked on that involved these technologies.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges. Practice explaining your thought process clearly and logically. This will demonstrate your ability to design and deploy production-grade AI applications effectively.
✨Understand the Company’s Vision
Research MBN Solutions and their approach to AI consultancy. Familiarise yourself with their recent projects and how they leverage LLMs. This knowledge will help you align your answers with their goals and show genuine interest in the role.
✨Prepare Questions That Matter
Think of insightful questions to ask at the end of your interview. Inquire about the team dynamics, ongoing projects, or opportunities for professional development. This shows that you’re not just interested in the job, but also in growing with the company.
