At a Glance
- Tasks: Lead the development of advanced AI solutions and mentor fellow engineers.
- Company: Innovative AI consultancy working with top global AI labs.
- Benefits: Up to £115k salary, bonus, and great benefits.
- Other info: Work in a dynamic environment with opportunities for growth.
- Why this job: Shape the future of AI while collaborating with industry leaders.
- Qualifications: Experience in LLM applications and strong Python skills required.
The predicted salary is between 115000 - 115000 € per year.
An innovative AI consultancy partnering with globally recognised AI labs is looking for a Lead AI Engineer to drive the development of advanced GenAI solutions across enterprise clients.
The role:
- Lead the build and deployment of scalable LLM applications
- Design RAG systems, AI agents, and vector search solutions
- Mentor engineers and shape technical direction
- Work directly with clients to turn business needs into AI products
What they need:
- Proven experience building production LLM applications
- Strong understanding of RAG, prompt engineering, and agentic workflows
- Solid Python engineering skills and API development experience
- Experience deploying cloud-native solutions on AWS, Azure, or GCP
- Ability to lead projects and collaborate with senior stakeholders
Lead AI Engineer – London (Up to £115k + Bonus) employer: Oliver Bernard
As a leading AI consultancy based in the heart of Central London, we offer an exciting opportunity for a Lead AI Engineer to work on cutting-edge GenAI solutions with globally recognised AI labs. Our collaborative work culture fosters innovation and mentorship, providing ample opportunities for professional growth while enjoying competitive salaries, bonuses, and a flexible work environment that includes three days on-site. Join us to be part of a dynamic team that values creativity and technical excellence in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer – London (Up to £115k + Bonus)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage with industry professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with LLM applications, RAG systems, and any cool projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, cloud solutions, and how you've led projects in the past. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Lead AI Engineer – London (Up to £115k + Bonus)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead AI Engineer role. Highlight your experience with LLM applications and any relevant projects you've led. We want to see how your skills match what we're looking for!
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 your background makes you the perfect fit for our team. Don’t forget to mention your experience with RAG systems and cloud-native solutions.
Showcase Your Technical Skills:In your application, be sure to showcase your solid Python engineering skills and API development experience. We love seeing specific examples of how you've used these skills in past projects!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of LLM applications, RAG systems, and prompt engineering. Be ready to discuss specific projects you've worked on and how you tackled challenges in building scalable AI solutions.
✨Showcase Your Leadership Skills
As a Lead AI Engineer, you'll need to demonstrate your ability to mentor others and lead projects. Prepare examples of how you've guided teams in the past and how you plan to shape the technical direction in this role.
✨Understand the Client's Needs
Research the company and its clients before the interview. Think about how you can turn their business needs into effective AI products. Being able to articulate this will show that you're not just technically savvy but also client-focused.
✨Be Ready for Technical Questions
Expect in-depth questions about Python, API development, and cloud-native solutions. Brush up on your coding skills and be prepared to solve problems on the spot. Practising with mock interviews can help you feel more confident.
