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- Tasks: Design and build next-gen AI applications using Python and cutting-edge frameworks.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Strong Python skills and experience with LLM or Generative AI applications.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We are recruiting for an AI Engineer / Data & AI Scientist to join a high-impact programme building next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments. This is an opportunity to work on advanced AI assistant and conversational AI technology, building scalable multi-agent architectures and generative search systems using modern AI frameworks.
Key Responsibilities
- Design and build LLM-powered applications using Python and Generative AI frameworks
- Develop RAG (Retrieval Augmented Generation) pipelines and AI orchestration workflows
- Build and deploy agent-based AI systems using tools such as LangGraph, CrewAI or similar frameworks
- Engineer scalable AI infrastructure across Azure and GCP environments
- Implement prompt engineering, model evaluation and LLMOps monitoring
- Develop AI products including conversational AI assistants, summarisation tools and generative search capabilities
Required Skills
- Strong Python development experience
- Experience building production LLM or Generative AI applications
- Knowledge of RAG pipelines, prompt engineering and vector search
- Experience with agentic AI frameworks (LangGraph, CrewAI or similar)
- Exposure to LLMOps, model evaluation or monitoring
- Experience with cloud AI platforms such as Azure AI or Vertex AI (GCP)
Desirable Experience
- Conversational AI or AI assistant platforms
- Multi-agent architectures
- Responsible AI, AI ethics or guardrail design
- Agile / Scrum environments
This is an excellent opportunity for an AI Engineer, Machine Learning Engineer, LLM Engineer or Generative AI Engineer looking to build production AI systems and next-generation conversational AI platforms. Apply now to work on cutting-edge generative AI and LLM technologies.
AI Engineer employer: Fundacion Nuestros Hijos
Contact Detail:
Fundacion Nuestros Hijos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and generative AI. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and frameworks. We recommend practising coding challenges and discussing your past projects. Confidence is key, so know your stuff!
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any LLM or Generative AI projects you've worked on. 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 your background makes you a great fit for our team. Be specific about your experience with RAG pipelines and agent-based systems.
Showcase Your Projects: If you've built any AI applications or worked on relevant projects, include links or descriptions in your application. We love seeing practical examples of your work, especially if they involve conversational AI or multi-agent architectures.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
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 AI frameworks mentioned in the job description, like LangGraph and CrewAI. Brush up on your knowledge of LLM applications and RAG pipelines, as you might be asked to discuss your experience with these technologies.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving conversational AI or 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 the Company’s Vision
Research the company’s current AI initiatives and their goals. Understanding their approach to responsible AI and ethics can give you an edge. It shows that you’re not just interested in the role but also in contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values and work style.