At a Glance
- Tasks: Build and optimise AI-powered applications while working on exciting football intelligence projects.
- Company: Join a cutting-edge company revolutionising football analysis with AI technology.
- Benefits: Fully remote internship with flexible hours, perfect for students or recent graduates.
- Other info: Gain hands-on experience and collaborate with experts in a dynamic, innovative environment.
- Why this job: Combine your passion for AI and football to make a real impact in the sports industry.
- Qualifications: Strong Python skills and a keen interest in AI and software engineering.
The predicted salary is between 20000 - 30000 £ per year.
We’re building the next generation of football intelligence. FAIR is an AI that goes beyond traditional stats to analyse every action, movement, and decision on the pitch, and evaluate how they impact team performance. Trained to understand how football should be played, FAIR gives users access to advanced football intelligence that helps them make better decisions, whether they are fans, fantasy football players, analysts, bettors or strategists.
As an AI Engineer Intern, you will work directly on the development of FAIR Chat and other AI-powered products. You will help design, build, and optimize LLM-powered applications, agent workflows, retrieval systems, and backend services. This role is ideal for a student or recent graduate who is passionate about AI, software engineering, and football. Internship is fully remote, for a duration of 3 to 12 months, and may be part-time or full-time (preferred).
Key Responsibilities:- Build and improve AI-powered applications using LLMs
- Develop prompt engineering strategies to improve AI performance and reliability
- Build Retrieval-Augmented Generation (RAG) systems using vector databases
- Integrate various APIs into production applications
- Develop backend APIs and services using Python and FastAPI
- Work with football datasets and football intelligence models
- Collaborate on cloud deployment and infrastructure across Azure and Google Cloud Platform
- Contribute to backend/frontend features using ReactJS and NodeJS
- Implement monitoring, evaluation, and testing frameworks for AI systems
- Participate in code reviews and software development best practices
- Strong Python programming skills
- Experience building APIs and backend services
- Good software engineering fundamentals and debugging skills
AI Engineer Intern employer: FAIR Football AI
FAIR is an exceptional employer for those passionate about AI and football, offering a fully remote internship that allows you to work flexibly while contributing to cutting-edge technology in sports intelligence. With a collaborative work culture that encourages innovation and personal growth, interns will have the opportunity to develop their skills in AI engineering and software development, all while being part of a dynamic team dedicated to transforming how football is understood and played.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Intern
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and football. Use platforms like LinkedIn to connect and engage with professionals; you never know who might have an opportunity or can refer you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and football. Whether it's a cool app or a research project, having something tangible to share can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and API development skills. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle problems, so think aloud!
✨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. Get your application in and let’s build the future of football intelligence together!
We think you need these skills to ace AI Engineer Intern
Some tips for your application 🫡
Show Your Passion for AI and Football:When you're writing your application, let us see your enthusiasm for both AI and football. Share any projects or experiences that highlight your skills in these areas. We love to see candidates who are genuinely excited about what we do!
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored specifically for the AI Engineer Intern role. Highlight relevant skills like Python programming and experience with APIs. We want to see how your background aligns with our needs, so don’t hold back!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
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. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at FAIR Football AI
✨Know Your AI Basics
Make sure you brush up on your AI fundamentals, especially around LLMs and prompt engineering. Be ready to discuss how these concepts apply to football intelligence and the specific role you're applying for.
✨Show Your Passion for Football
Since this role is all about football intelligence, don’t forget to express your enthusiasm for the game. Share any relevant experiences or projects that combine your love for football with your technical skills.
✨Prepare for Technical Questions
Expect some technical questions related to Python, APIs, and backend services. Practise coding problems and be ready to explain your thought process during the interview. It’s all about demonstrating your problem-solving skills!
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared. This shows your interest in the company and the role. You might ask about their current projects or how they envision the future of AI in football.
