At a Glance
- Tasks: Design and deploy intelligent AI systems and develop advanced RAG pipelines.
- Company: Russell Tobin, a leader in AI technology in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity to take AI from concept to production in a global organisation.
- Why this job: Shape enterprise AI and work on impactful technology that drives innovation.
- Qualifications: Strong experience in LLMs, AI agents, and frameworks like PyTorch and TensorFlow.
The predicted salary is between 60000 - 80000 € per year.
Russell Tobin in Greater London is looking for AI engineers to build production-grade AI systems at scale. In this hybrid role, you'll design and deploy intelligent AI systems and develop advanced RAG pipelines.
Candidates should have strong experience in LLMs, AI agents, and major frameworks like PyTorch and TensorFlow. Enjoy working on impactful technology that shapes enterprise AI across a global organization. This role offers an exciting opportunity for those passionate about taking AI from concept to production.
Production AI Engineer — LLMs, Agents & Scale (Hybrid) in London employer: Russell Tobin
At Russell Tobin, 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 continuous learning opportunities and the chance to work on cutting-edge AI technologies that have a real impact on the enterprise landscape. Join us to be part of a forward-thinking team where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Engineer — LLMs, Agents & Scale (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those working with LLMs and AI agents. Attend meetups or webinars to connect with industry experts and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with PyTorch and TensorFlow. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of RAG pipelines and production-grade AI systems. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to take AI from concept to production. Your dream job could be just a click away!
We think you need these skills to ace Production AI Engineer — LLMs, Agents & Scale (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLMs, AI agents, and frameworks like PyTorch and TensorFlow. 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 you can contribute to building production-grade systems. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Projects:If you've worked on any impactful AI projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know how you've taken AI from concept to production.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Russell Tobin
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be prepared to discuss your experience with them, including specific projects you've worked on and the frameworks you've used, like PyTorch and TensorFlow.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or technical challenges related to AI systems. Think about how you would design and deploy intelligent systems at scale, and articulate your thought process clearly.
✨Demonstrate Your Passion for AI
Let your enthusiasm for AI shine through! Share examples of how you've engaged with AI technology outside of work, whether through personal projects, research, or community involvement. This will show that you're genuinely invested in the field.
✨Prepare Questions About the Role
Have a few insightful questions ready to ask the interviewer about the company's approach to AI and the specific challenges they face. This not only shows your interest but also helps you gauge if the role aligns with your career goals.
