At a Glance
- Tasks: Build and deploy cutting-edge AI systems to solve real-world challenges.
- Company: Leading AI consultancy collaborating with top global labs.
- Benefits: Up to £150k salary, bonus, and flexible working options.
- Other info: Exciting opportunities for growth in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of AI across industries.
- Qualifications: Experience with LLM APIs, Python, and cloud deployment.
The predicted salary is between 150000 - 150000 € per year.
A leading AI & data consultancy, working alongside top global AI labs, is hiring a Principal AI Engineer to deliver cutting-edge LLM solutions across finance, healthcare, and energy.
What you’ll do:
- Build and deploy production-grade LLM systems
- Develop RAG pipelines, vector DBs, and agentic workflows
- Turn AI concepts into scalable real-world applications
- Work closely with stakeholders to solve complex business challenges
What they’re looking for:
- Strong experience building with LLM APIs
- Hands-on knowledge of RAG, vector databases, knowledge graphs, and prompt engineering
- Experience designing multi-step AI agents/workflows
- Strong Python engineering background
- Cloud deployment experience across AWS, Azure, or GCP
Principal AI Engineer – London | Up to £150k employer: Oliver Bernard
As a leading AI and data consultancy based in Central London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from competitive salaries, comprehensive packages, and the opportunity to work alongside top global AI labs, ensuring continuous professional growth and exposure to cutting-edge technologies. Join us to be part of a forward-thinking team that is dedicated to solving complex business challenges across diverse sectors such as finance, healthcare, and energy.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Engineer – London | Up to £150k
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data consultancy space, especially those who work with LLMs. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you've built any cool LLM systems or workflows, create a portfolio or a GitHub repo. It’s a great way to demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and cloud deployment knowledge. Be ready to discuss how you’ve tackled complex business challenges using AI – real examples will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talent with opportunities, and we want to see your application come through directly. Let’s get you that Principal AI Engineer role!
We think you need these skills to ace Principal AI Engineer – London | Up to £150k
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLM APIs and Python engineering. 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 and how your background makes you the perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to RAG pipelines or vector databases.
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 LLM APIs and the latest advancements in AI. Be ready to discuss how you've built and deployed production-grade LLM systems in the past, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Technical Skills
Prepare to dive deep into your hands-on experience with RAG pipelines, vector databases, and prompt engineering. Bring examples of projects where you've designed multi-step AI agents or workflows, and be ready to explain your thought process and the impact of your work.
✨Understand the Business Context
Since you'll be working closely with stakeholders, it's crucial to demonstrate your ability to solve complex business challenges. Research the company’s focus areas like finance, healthcare, and energy, and think about how your skills can directly contribute to their goals.
✨Cloud Knowledge is Key
With cloud deployment experience being a must, make sure you’re familiar with AWS, Azure, or GCP. Be prepared to discuss specific projects where you’ve utilised these platforms, including any challenges you faced and how you optimised your deployments.
