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: Join a dynamic team passionate about taking AI from concept to production.
- Why this job: Shape enterprise AI and work on impactful technology that makes a difference.
- 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) employer: Russell Tobin
At Russell Tobin, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of Greater London. Our hybrid work culture promotes flexibility while providing employees with access to cutting-edge technology and resources, ensuring meaningful contributions to impactful AI projects. With a strong focus on professional development, we offer numerous growth opportunities for our team members to advance their careers in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Engineer — LLMs, Agents & Scale (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs and AI agents. This is your chance to demonstrate your expertise in PyTorch and TensorFlow, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical scenarios. Practice explaining your thought process when designing and deploying AI systems, as this will show your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities that could be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Production AI Engineer — LLMs, Agents & Scale (Hybrid)
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 your application and ensures you don’t miss out on any important updates!
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 an intelligent AI system, and articulate your thought process clearly.
✨Highlight Your Experience with RAG Pipelines
Since this role involves developing advanced RAG pipelines, make sure to highlight any relevant experience you have. Discuss the techniques you've used and how they contributed to the success of your projects.
✨Demonstrate Your Passion for AI
Let your enthusiasm for AI technology shine through. Share what excites you about taking AI from concept to production and how you see it impacting enterprise solutions globally. This will show that you're not just qualified, but genuinely invested in the field.
