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- Tasks: Design and deploy innovative AI systems for LLM applications and internal tools.
- Company: Fast-growing FinTech company in Greater London with a focus on cutting-edge technology.
- Benefits: Competitive compensation, professional growth opportunities, and a dynamic work environment.
- Why this job: Join a team shaping the future of AI in finance and make a real impact.
- Qualifications: 5+ years in software engineering, strong Python skills, and cloud deployment experience.
- Other info: Hands-on role with a focus on reliability and efficiency in AWS infrastructure.
The predicted salary is between 48000 - 72000 £ per year.
A growing FinTech company in Greater London is seeking an AI Systems Engineer to design and deploy cutting-edge AI systems. In this hands-on role, you will work on LLM applications and internal tools across various teams, ensuring high reliability and efficiency on AWS infrastructure.
The ideal candidate will have over 5 years of experience in software engineering, extensive knowledge of AI systems, and a strong foundation in Python and cloud deployments. Competitive compensation and opportunities for professional growth are offered.
AI Systems Engineer for Production LLMs & Automation employer: Oxford Data Plan
Contact Detail:
Oxford Data Plan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Systems Engineer for Production LLMs & Automation
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those working with AI 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 projects related to LLMs and automation. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and cloud deployment knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Systems Engineer for Production LLMs & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI systems and cloud deployments. We want to see how your skills align with the role, so don’t be shy about showcasing your Python expertise and any relevant projects you've worked on.
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 a perfect fit for our team. We love seeing enthusiasm and a bit of personality in your writing.
Showcase Relevant Projects: If you've worked on LLM applications or similar projects, make sure to mention them! We’re keen to see real-world examples of your work, so include links or descriptions that demonstrate your hands-on experience.
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 the role. Plus, it gives you a chance to explore more about what we do!
How to prepare for a job interview at Oxford Data Plan
✨Know Your AI Systems Inside Out
Make sure you brush up on your knowledge of AI systems, especially those related to LLM applications. Be prepared to discuss your previous projects and how you've designed or deployed similar systems. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in Python. Having a few examples of your work handy can also help illustrate your proficiency.
✨Familiarise Yourself with AWS
As the role involves working with AWS infrastructure, it’s crucial to understand its services and best practices. Brush up on your knowledge of cloud deployments and be ready to discuss how you’ve used AWS in past projects. This will show that you can hit the ground running.
✨Prepare Questions About the Company
Interviews are a two-way street, so come prepared with insightful questions about the company’s vision, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.