At a Glance
- Tasks: Build and deploy cutting-edge LLM systems while solving real-world business challenges.
- Company: Join a leading tech firm in London with a focus on AI innovation.
- Benefits: Earn up to £150k plus bonuses, with great perks and benefits.
- Other info: Enjoy a dynamic work environment with 3 days onsite in Central London.
- Why this job: Make an impact in finance, healthcare, and energy sectors with your AI expertise.
- Qualifications: Strong experience with LLM APIs, RAG, vector databases, and cloud deployment.
The predicted salary is between 135000 - 150000 € per year.
Oliver Bernard is seeking a Principal AI Engineer in London, offering up to £150k plus bonuses and benefits. The ideal candidate will build and deploy production-grade LLM systems, develop pipelines, and collaborate with stakeholders to tackle business challenges across finance, healthcare, and energy sectors.
The position requires strong experience with:
- LLM APIs
- RAG
- Vector databases
- Cloud deployment (AWS, Azure, GCP)
3 days onsite in Central London.
Senior AI Engineer – LLM & RAG Systems Lead in London employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides a vibrant environment where Senior AI Engineers can thrive, with ample opportunities for professional growth and development in cutting-edge technologies. With competitive salaries, bonuses, and a commitment to employee well-being, we ensure that our team members are not only rewarded for their contributions but also supported in their career journeys.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer – LLM & RAG Systems Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those working with LLMs and RAG systems. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you've built or deployed any LLM systems, create a portfolio or a GitHub repo showcasing your work. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of vector databases and cloud deployment. We all know that confidence is key, so practice explaining complex concepts in simple terms.
✨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 that extra step.
We think you need these skills to ace Senior AI Engineer – LLM & RAG Systems Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLM systems and RAG. We want to see how your skills align with the job description, 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 and how you can tackle challenges in finance, healthcare, and energy sectors. Let us know what excites you about this role!
Showcase Your Technical Skills:We’re looking for strong experience with LLM APIs and cloud deployment. Be specific about the technologies you’ve worked with, like AWS, Azure, or GCP, and any relevant projects 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 us!
How to prepare for a job interview at Oliver Bernard
✨Know Your LLMs Inside Out
Make sure you’re well-versed in the latest developments in LLM systems. Brush up on your experience with LLM APIs and be ready to discuss how you've built and deployed production-grade systems in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled business challenges in sectors like finance, healthcare, or energy. Be specific about the impact your solutions had and how you collaborated with stakeholders to achieve results.
✨Get Familiar with RAG and Vector Databases
Since RAG and vector databases are key components of the role, ensure you can explain their significance and how you've implemented them in previous projects. This will demonstrate your technical expertise and readiness for the position.
✨Cloud Deployment Know-How
Brush up on your cloud deployment skills, particularly with AWS, Azure, and GCP. Be prepared to discuss your experience with these platforms and how you've leveraged them to enhance AI systems in your previous roles.
