Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create next-gen conversational AI and generative AI platforms using Python.
- Company: Leading AI technology organisation in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a fast-evolving field and make an impact in AI technology.
- Qualifications: Experience in building LLM or generative AI applications and familiarity with RAG pipelines.
- Other info: Exciting opportunity for ambitious engineers looking to advance their careers.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI technology organization in the UK seeks an AI Engineer/Data & AI Scientist to create next-generation conversational AI and generative AI platforms. The role involves developing production-grade LLM applications using Python, orchestrating AI workflows, and engineering scalable infrastructure across Azure and GCP.
Candidates should have strong experience in building LLM or generative AI applications and be familiar with RAG pipelines. This is a fantastic opportunity for ambitious engineers in the fast-evolving field of AI.
AI Engineer: LLMs, Generative AI & Multi-Agent Systems 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, Generative AI & Multi-Agent Systems
✨Tip Number 1
Network like a pro! Connect with professionals in the AI field on LinkedIn or attend local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM and generative AI projects. We all know that actions speak louder than words, so let your work do the talking when you’re in interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding AI workflows. We recommend practicing common coding challenges and discussing your thought process out loud to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer: LLMs, Generative AI & Multi-Agent Systems
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with LLMs and generative AI in your application. We want to see how you've tackled similar projects and the impact you've made!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background to our needs.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your qualifications.
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 this exciting opportunity in the AI field!
How to prepare for a job interview at Fundacion Nuestros Hijos
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and LLM applications. Brush up on your knowledge of RAG pipelines and be ready to discuss how you've used these in past projects.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed generative AI platforms or worked with multi-agent systems. Bring examples that highlight your problem-solving skills and the impact of your work, as this will demonstrate your hands-on experience.
✨Understand the Company’s Vision
Research the organisation's goals and recent advancements in AI technology. Being able to align your answers with their mission will show that you’re genuinely interested and can contribute to their vision for next-generation conversational AI.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack they use, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.