At a Glance
- Tasks: Design and build cutting-edge AI systems for enterprise clients.
- Company: Fast-growing AI-native consultancy with a focus on innovation.
- Benefits: Competitive salary up to £135k, bonus, and hybrid work model.
- Other info: Dynamic environment with opportunities for professional growth.
- Why this job: Join a team creating impactful AI solutions and advance your career.
- Qualifications: Strong Python skills and experience with LLM applications.
The predicted salary is between 120000 - 135000 £ per year.
Oliver Bernard have partnered with a fast-growing AI-native consultancy delivering cutting-edge AI solutions for enterprise clients. They're looking for a Principal AI Engineer to design and build production-grade AI systems, working across LLMs, RAG, agentic workflows and modern AI architectures.
What you'll need:
- Strong Python engineering background
- Experience building LLM applications in production
- Hands-on with RAG, LangChain, LangGraph or agentic systems
- Background in Software Engineering, AI Engineering or Data Science
London (3 days onsite)
Competitive salary + bonus
3-stage interview process
Unfortunately, visa sponsorship is not available.
If you're interested in building real-world AI products at scale, I'd love to chat.
Principal AI Engineer - London - Hybrid - up to £135k + bonus employer: Oliver Bernard
As a leading AI-native consultancy based in London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel. With competitive salaries, performance bonuses, and a hybrid working model, we offer exceptional growth opportunities for those passionate about cutting-edge AI technologies. Join us to collaborate with talented professionals and contribute to impactful projects that shape the future of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Engineer - London - Hybrid - up to £135k + bonus
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and RAG. We want to see what you can do, so make it easy for potential employers to see your work.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and be ready to discuss your experience with AI systems. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal AI Engineer - London - Hybrid - up to £135k + bonus
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong Python engineering background and any experience with LLM applications. 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 experience with RAG, LangChain, or agentic systems makes you a perfect fit for us. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any production-grade AI systems, make sure to mention them in your application. We love seeing real-world examples of your work, especially if they involve modern AI architectures!
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 Tech Inside Out
Make sure you’re well-versed in Python and the specific AI technologies mentioned, like LLMs and RAG. Brush up on your experience with LangChain and agentic systems, as you’ll likely be asked to discuss your hands-on work with these tools.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex challenges in AI engineering. Think about specific projects where you designed or built production-grade AI systems and be ready to explain your thought process and the impact of your solutions.
✨Understand the Company’s Vision
Research the consultancy's recent projects and their approach to AI solutions. This will help you align your answers with their goals and demonstrate that you’re genuinely interested in contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and future AI trends they’re excited about. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.
