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- Tasks: Design and build cutting-edge LLM applications and agentic systems.
- Company: Rapidly scaling AI-native consultancy with a hands-on approach.
- Benefits: Competitive salary, bonus, and opportunities for professional growth.
- Why this job: Join a team passionate about creating impactful AI products in a dynamic environment.
- Qualifications: Strong Python skills and experience in building production-grade LLM applications.
- Other info: Hybrid work model with a focus on collaboration and innovation.
The predicted salary is between 43200 - 72000 £ per year.
OB have partnered with a rapidly scaling AI-native consultancy who are looking for a Lead AI Engineer to help build and deploy production-grade LLM systems powering next-generation AI products.
This role is fully hands-on, ideal for someone passionate about building real, production-ready AI systems rather than focusing solely on experimentation or presentations.
- Designing and building LLM-powered applications
- Building agentic systems using modern AI frameworks
- Pair programming and collaborating with engineers in Python
Strong Python engineering experience
Hands-on experience building LLM applications in production
Lead AI Engineer - London (Hybrid) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer - London (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those working with LLMs. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLM applications. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI frameworks. Practice pair programming with a friend or use online platforms to simulate real interview scenarios – it’s all about showing you can build production-ready systems!
✨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, applying directly shows your enthusiasm and commitment to joining the team.
We think you need these skills to ace Lead AI Engineer - London (Hybrid)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for building real, production-ready AI systems. Share specific examples of projects you've worked on that demonstrate your hands-on experience with LLM applications.
Highlight Your Python Skills: Make sure to emphasise your strong Python engineering experience. We want to know about the frameworks and tools you’ve used, so don’t hold back on the technical details that showcase your expertise.
Collaborative Spirit is Key: Since this role involves pair programming and collaboration, mention any experiences where you’ve worked closely with other engineers. We love seeing teamwork in action, so share how you’ve contributed to a collaborative environment.
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 to join our rapidly scaling team.
How to prepare for a job interview at Oliver Bernard
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python in building LLM applications. They’ll likely want to see your coding prowess, so practice some coding challenges to keep your skills sharp.
✨Showcase Your LLM Experience
Prepare to talk about your hands-on experience with LLM systems. Have specific examples ready that demonstrate how you've designed and deployed these systems in production. This will show them you're not just familiar with the theory but have practical knowledge as well.
✨Emphasise Collaboration Skills
Since the role involves pair programming and collaboration, be ready to discuss how you work with others. Share examples of successful teamwork in your previous roles, especially in engineering contexts. Highlight any experiences where you’ve led a team or mentored others.
✨Ask Insightful Questions
Prepare some thoughtful questions about their current projects and future goals. This shows your genuine interest in the company and the role. Ask about the technologies they use or the challenges they face in deploying AI systems, which can also give you valuable insights into their work culture.