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- Tasks: Lead the design and build of cutting-edge AI systems using LLMs.
- Company: Join a forward-thinking tech company in Central London.
- Benefits: Competitive salary of £110,000 plus bonuses and hybrid work flexibility.
- Other info: Enjoy a dynamic work environment with opportunities for growth.
- Why this job: Make a real impact by translating business needs into innovative AI solutions.
- Qualifications: Experience with LLM APIs, cloud platforms, and strong Python programming skills.
The predicted salary is between 110000 - 110000 £ per year.
Oliver Bernard is seeking a Lead AI Engineer in Central London with a salary of £110,000 plus bonuses. The role involves leading the design and building of production-grade systems utilizing LLMs, managing RAG architectures, and developing workflows that translate business needs into technical solutions.
Candidates should have proven experience with LLM APIs and cloud platforms, alongside strong programming skills in Python. This hybrid position requires three days onsite and two days working from home.
Lead AI Engineer - Hybrid (London) LLMs & RAG employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer - Hybrid (London) LLMs & RAG
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with LLMs and RAG architectures. 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 projects with LLM APIs and cloud platforms. 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 Python programming skills. Be ready to discuss how you've translated business needs into technical solutions in past roles. Practice common interview questions related to AI engineering to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles like the Lead AI Engineer position. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead AI Engineer - Hybrid (London) LLMs & RAG
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with LLM APIs and cloud platforms in your application. We want to see how your programming skills in Python can shine through in your past projects!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with the role of Lead AI Engineer. We love seeing candidates who understand the job and can connect their background to our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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 this exciting opportunity!
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 Retrieval-Augmented Generation (RAG) architectures. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous work with Python. Practise coding challenges that relate to AI and machine learning to keep your skills sharp.
✨Understand the Business Side
This role involves translating business needs into technical solutions, so be prepared to discuss how you've done this in the past. Think of examples where you've worked closely with stakeholders to understand their requirements and how you turned those into actionable tech strategies.
✨Prepare for Hybrid Work Dynamics
As this is a hybrid position, be ready to talk about your experience working both onsite and remotely. Highlight how you manage your time and communication effectively in a hybrid environment, ensuring that you can lead a team regardless of where everyone is located.