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- Tasks: Design and build LLM-powered applications while developing workflows and architectures.
- Company: Oliver Bernard, a forward-thinking tech company in London.
- Benefits: Competitive salary, bonus opportunities, and a hybrid work model.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience with LLM applications, RAG systems, and a background in software engineering or data science.
The predicted salary is between 80000 - 100000 £ per year.
Oliver Bernard is seeking a Principal AI Engineer in London to design and build LLM-powered applications. This hybrid role involves developing workflows and architectures, implementing RAG pipelines, and collaborating closely with engineers in Python.
The ideal candidate has hands-on experience with LLM applications in production, familiarity with RAG and agentic systems, and a background in software engineering or data science.
Competitive salary and bonus are offered, but Visa sponsorship is not available.
Principal AI Engineer: Production LLMs & RAG employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Engineer: Production LLMs & RAG
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects and RAG implementations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with LLM applications. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Principal AI Engineer: Production LLMs & RAG
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM applications and RAG pipelines. 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 passionate about AI engineering and how your background in software engineering or data science makes you a perfect fit for us.
Showcase Your Collaboration Skills: Since this role involves working closely with other engineers, mention any past experiences where you’ve successfully collaborated on projects. We love teamwork, so let us know how you contribute to a positive team dynamic!
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 Oliver Bernard
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and their applications. Be ready to discuss specific projects you've worked on, especially those involving production-level LLMs. This will show your hands-on experience and understanding of the technology.
✨Master RAG Pipelines
Since the role involves implementing Retrieval-Augmented Generation (RAG) pipelines, it’s crucial to understand how they work. Prepare to explain your experience with RAG systems and be ready to discuss how you would approach building these workflows in a practical setting.
✨Show Off Your Python Skills
As collaboration with engineers in Python is key, make sure you can demonstrate your proficiency in the language. Bring examples of your code or projects that highlight your software engineering skills, particularly in relation to AI applications.
✨Collaborative Mindset
This role requires close collaboration with other engineers, so be prepared to discuss how you work in teams. Share examples of successful collaborations and how you handle challenges in a team environment. This will show that you’re not just a tech whiz but also a great team player.