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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 in vibrant Central London, with 2 days remote.
- Why this job: Be at the forefront of AI innovation, transforming industries like finance 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! Use it to explain why you’re passionate about AI and how you can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When detailing your experience, focus on your programming skills and any cloud platforms you've worked with. We’re keen to see examples of production-grade systems you’ve built, so don’t hold back!
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 the role. Plus, it’s super easy!
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) before the interview. Be ready to discuss their capabilities, limitations, and failure modes in detail. This will show that you not only understand the technology but can also apply it effectively in real-world scenarios.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your hands-on experience with RAG architectures, vector databases, and multi-step LLM workflows. Highlight any projects where you've successfully implemented these technologies, as this will demonstrate your practical skills and problem-solving abilities.
✨Communicate Like a Pro
Since liaising with stakeholders is key, practice explaining complex technical concepts in simple terms. Think about how you would translate business problems into technical solutions. This will help you convey your ideas clearly and show that you can bridge the gap between tech and business.
✨Get Familiar with Cloud Platforms
If you have experience with AWS, Azure, or GCP, be prepared to discuss it. Talk about how you've deployed systems into production and any challenges you faced. This will highlight your cloud expertise and reassure them that you can handle the technical demands of the role.