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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’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 contribute to our team!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your past experiences align with the role of Lead AI Engineer. We love seeing candidates who understand our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your qualifications and ideas.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
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 how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Python Skills
Since strong programming skills in Python are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand. Having a few examples of your previous work can also help illustrate your expertise.
✨Understand the Business Side
This role involves translating business needs into technical solutions, so it’s crucial to understand how AI can drive value for a company. Research Oliver Bernard and think about how your skills can align with their goals. Be prepared to discuss how you've successfully bridged the gap between technical and non-technical stakeholders in the past.
✨Prepare for Hybrid Work Dynamics
Since this position is hybrid, think about how you can effectively collaborate with your team both onsite and remotely. Be ready to share your strategies for maintaining productivity and communication in a hybrid environment, as well as any tools you’ve used to facilitate this.