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 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 120000 - 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 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 work-life balance, we ensure our employees feel valued and empowered to make a meaningful impact across diverse sectors such as finance, healthcare, and energy.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer – LLM & RAG Systems Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work with LLM systems. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLMs and RAG systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of vector databases and cloud deployment. We recommend practising common interview questions and scenarios that relate to the finance, healthcare, and energy sectors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Senior AI Engineer – LLM & RAG Systems Lead
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 and achievements!
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 contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills:When detailing your experience, focus on your work with LLM APIs, vector databases, and cloud deployment. We’re looking for specific examples that demonstrate your expertise and problem-solving abilities in these areas.
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 makes the process smoother for everyone involved!
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 complex business challenges in sectors like finance, healthcare, or energy. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Familiarise Yourself with RAG and Vector Databases
Dive deep into Retrieval-Augmented Generation (RAG) and vector databases. Be prepared to explain how these technologies work and how you've implemented them in previous projects, as this will be crucial for the role.
✨Cloud Deployment Know-How
Since the job involves cloud deployment, ensure you can discuss your experience with AWS, Azure, or GCP. Be ready to talk about specific projects where you’ve utilised these platforms to enhance AI solutions.
