At a Glance
- Tasks: Own projects from concept to deployment and build reliable AI systems.
- Company: Join a leading AI build project with Russell Tobin in Greater London.
- Benefits: Competitive salary and the chance to work on cutting-edge AI technology.
- Other info: Collaborate with engineering teams in a dynamic and innovative environment.
- Why this job: Make an impact by deploying real-world LLM systems across various products.
- Qualifications: Strong Python skills and experience in deploying LLM systems in production.
The predicted salary is between 60000 - 80000 € per year.
Russell Tobin is looking for skilled AI Operators in Greater London to join a major AI build project. This role focuses on deploying real-world LLM and agent-based systems across various products.
Key responsibilities include:
- Owning projects from concept to deployment
- Building reliable AI systems
- Collaborating with engineering teams
Candidates should have strong Python skills and experience in deploying LLM systems in production settings.
Production AI Agent Engineer - Scaled LLM Systems in London employer: Russell Tobin
At Russell Tobin, we pride ourselves on being an exceptional employer in the heart of Greater London, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and hands-on experience with cutting-edge AI technologies, making this role not just a job, but a pathway to a rewarding career in the rapidly evolving field of AI. Join us and be part of a team that values your contributions and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Agent Engineer - Scaled LLM Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech scene, especially those who are already working on LLM systems. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any LLM systems you've deployed. This is your chance to demonstrate your expertise and passion for AI – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common AI and Python questions. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience and projects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Production AI Agent Engineer - Scaled LLM Systems in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world projects, especially in deploying LLM systems. Don’t hold back on the details!
Project Ownership is Key:We love candidates who can take charge! In your application, share examples of projects you've owned from start to finish. This will show us you’re ready to handle responsibilities in our major AI build project.
Collaboration is Crucial:Since this role involves working with engineering teams, mention any collaborative experiences you’ve had. We want to know how you communicate and work with others to build reliable AI systems.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Russell Tobin
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss your experience with deploying these systems in production settings, as well as any challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding. Practise common algorithms and data structures to ensure you're sharp.
✨Project Ownership is Key
Be prepared to talk about projects you've owned from concept to deployment. Highlight your role in these projects, the impact they had, and how you collaborated with engineering teams. This will show that you can take initiative and work well with others.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the company and the role. Ask about their current AI projects, team dynamics, or future goals. This not only demonstrates your enthusiasm but also helps you gauge if it's the right fit for you.
