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For Companies At a Glance
- Tasks: Lead the design and build of cutting-edge AI systems that make a real-world impact.
- Company: Join a global leader in applied AI, collaborating with top AI labs.
- Benefits: Competitive salary of £110,000 plus bonus, flexible work options, and career growth.
- Other info: Work 3 days onsite and 2 days from home in vibrant Central London.
- Why this job: Shape the future of AI across industries like finance, energy, and healthcare.
- Qualifications: Experience with LLM APIs, RAG architectures, and strong programming skills in Python.
The predicted salary is between 110000 - 110000 £ per year.
We’re supporting a global leader at the forefront of applied AI, working in close partnership with some of the world’s leading AI labs.
Responsibilities
- Lead the design and build production-grade systems using LLMs
- Working across RAG pipelines, vector databases, and agentic workflows
- Take AI from concept to real-world impact across industries like financial services, energy, and healthcare
- Liaise with stakeholders internally and externally to understand business problems and translate into technical solutions
Requirements
- Proven experience building applications with LLM APIs, with a strong understanding of their real-world capabilities, limitations, and failure modes
- Hands-on experience implementing RAG architectures, vector databases, knowledge graphs, and effective prompt/context engineering
- Experience designing and developing multi-step LLM workflows and agent-based systems
- Strong programming skills (Python preferred) with experience building production-grade APIs and services
- Experience working with cloud platforms (AWS, Azure, or GCP) and deploying systems into production
Lead AI Engineer - London (£110,000 + bonus) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer - London (£110,000 + bonus)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects with LLMs and RAG architectures. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with vector databases and multi-step workflows. We want to see how you can translate complex problems into real-world solutions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead AI Engineer - London (£110,000 + bonus)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM APIs and RAG architectures. 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! Tell us why you’re passionate about AI and how your background makes you the perfect fit for this Lead AI Engineer position. Keep it engaging and personal.
Showcase Your Technical Skills: In your application, mention specific programming languages and cloud platforms you’ve worked with. We love seeing hands-on experience, especially with Python and deploying systems in production!
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’re well-versed in the capabilities and limitations of LLM APIs. Be ready to discuss specific projects where you've implemented these technologies, and how you tackled any challenges that arose.
✨Showcase Your RAG Architecture Experience
Prepare to talk about your hands-on experience with RAG architectures and vector databases. Bring examples of how you've designed multi-step workflows and agent-based systems, as this will demonstrate your practical knowledge.
✨Brush Up on Your Programming Skills
Since strong programming skills are a must, be prepared to discuss your experience with Python and building production-grade APIs. You might even want to practice coding problems or system design questions to showcase your technical prowess.
✨Understand the Business Context
Familiarise yourself with the industries mentioned in the job description, like financial services and healthcare. Think about how AI can solve real-world problems in these sectors, and be ready to share your insights during the interview.