Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement production-grade generative AI systems using Python and Google Cloud.
- Company: A tech-driven organisation in the UK focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Join us to tackle large-scale AI challenges with the latest technologies.
- Qualifications: Strong Python skills, experience in generative AI, and knowledge of CI/CD processes.
The predicted salary is between 30000 - 50000 £ per year.
A technology-driven organization in the United Kingdom is looking for a Machine Learning / AI Engineer to design and implement production-grade generative AI systems. You will develop LLM applications, RAG pipelines, and scalable AI infrastructures mainly using Python and Google Cloud.
The ideal candidate will have:
- a strong background in Python development,
- experience in generative AI,
- familiarity with CI/CD processes.
Join us in solving large-scale AI challenges with cutting-edge technologies.
AI Engineer: LLMs, RAG & Cloud-Native Platforms employer: Fundacion Nuestros Hijos
Contact Detail:
Fundacion Nuestros Hijos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: LLMs, RAG & Cloud-Native Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect 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, especially those involving LLMs and generative AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and cloud technologies. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer: LLMs, RAG & Cloud-Native Platforms
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python development experience in your application. We want to see how you've used Python in past projects, especially in the context of AI and machine learning.
Talk About Your Generative AI Experience: If you've worked with generative AI before, let us know! Share specific examples of projects or systems you've developed. This will help us understand your expertise in this area.
CI/CD is Key: Don’t forget to mention your familiarity with CI/CD processes. We’re looking for someone who can seamlessly integrate and deploy AI solutions, so any relevant experience here is a big plus!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Fundacion Nuestros Hijos
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific tools related to LLMs and RAG. Brush up on your knowledge of Google Cloud services, as you might be asked to discuss how you would implement scalable AI infrastructures.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving generative AI. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand CI/CD Processes
Since familiarity with CI/CD is a must, make sure you can discuss how you’ve implemented these processes in past projects. Highlight any tools you’ve used and how they improved your workflow or project outcomes.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s approach to AI challenges and their tech stack. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.