Lead AI Engineer – RAG & LLM Systems Architect (London)
Lead AI Engineer – RAG & LLM Systems Architect (London)

Lead AI Engineer – RAG & LLM Systems Architect (London)

London Full-Time 145000 - 145000 £ / year (est.) No home office possible
Oliver Bernard

At a Glance

  • Tasks: Lead AI projects, design RAG pipelines, and build production-grade LLM workflows.
  • Company: Oliver Bernard, a forward-thinking tech company in Greater London.
  • Benefits: Competitive salary of £145k plus bonus, with leadership opportunities.
  • Why this job: Join a rapidly growing AI team and tackle real-world challenges with cutting-edge technology.
  • Qualifications: Experience in AI engineering and strong leadership skills.

The predicted salary is between 145000 - 145000 £ per year.

Oliver Bernard is hiring a Principal AI Engineer in Greater London with a salary of £145k plus a bonus. The ideal candidate will tackle real-world problems using LLMs and advanced architectures, ensuring the design and scaling of RAG pipelines, and building production-grade LLM workflows.

The position offers leadership opportunities in AI strategy and engineering standards in a rapidly growing AI team.

Lead AI Engineer – RAG & LLM Systems Architect (London) employer: Oliver Bernard

At Oliver Bernard, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through leadership opportunities in cutting-edge AI projects, competitive salaries, and a supportive environment that encourages professional development. Join us to be part of a rapidly growing team where your contributions will make a meaningful impact in the world of AI.
Oliver Bernard

Contact Detail:

Oliver Bernard Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead AI Engineer – RAG & LLM Systems Architect (London)

Tip Number 1

Network like a pro! Reach out to folks in the AI space, especially those who work with LLMs and RAG systems. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! If you've built any cool projects or have experience with production-grade LLM workflows, make sure to highlight them in conversations. Real-world examples speak volumes.

Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of AI strategies and engineering standards. We all know that being well-prepared can set you apart from the competition.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Lead AI Engineer – RAG & LLM Systems Architect (London)

LLMs (Large Language Models)
RAG (Retrieval-Augmented Generation) Pipelines
Production-Grade Workflow Development
AI Strategy
Engineering Standards
Leadership Skills
Problem-Solving Skills
Architectural Design

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with LLMs and RAG systems. We want to see how you've tackled real-world problems in AI, so don’t hold back on those details!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your skills align with our needs. We love hearing about your vision for AI strategy and engineering standards.

Showcase Your Leadership Skills: Since this role involves leadership opportunities, be sure to mention any past experiences where you’ve led projects or teams. We’re looking for someone who can inspire and guide others in our rapidly growing AI team.

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 latest advancements in Large Language Models. Brush up on their architectures, strengths, and weaknesses, and be ready to discuss how you’ve applied them in real-world scenarios.

Showcase Your RAG Pipeline Experience

Prepare specific examples of how you've designed and scaled Retrieval-Augmented Generation (RAG) pipelines. Highlight any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.

Leadership is Key

Since this role involves leadership opportunities, think about your past experiences leading teams or projects. Be ready to share how you’ve influenced AI strategy and engineering standards, and how you can bring that expertise to their rapidly growing team.

Ask Insightful Questions

Prepare thoughtful questions about the company’s AI strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.

Lead AI Engineer – RAG & LLM Systems Architect (London)
Oliver Bernard
Location: London

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