At a Glance
- Tasks: Build and optimise AI-powered applications for football intelligence.
- Company: Join a cutting-edge AI company revolutionising football analysis.
- Benefits: Gain hands-on experience, mentorship, and flexible remote work.
- Other info: Ideal for students or recent grads seeking growth in AI and software engineering.
- Why this job: Combine your passion for AI and football while making a real impact.
- Qualifications: Strong Python skills and a love for football are essential.
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
- Programming: Strong Python programming skills, experience building APIs and backend services, good software engineering fundamentals and debugging skills
- AI & Machine Learning: Strong understanding of LLMs, experience with Prompt Engineering, experience building RAG applications, knowledge of multi-agent architectures and agent orchestration, familiarity with AI evaluation and benchmarking
- Databases: MongoDB, SQL databases
- AI & Development Stack: LangChain, LangGraph, Pinecone, GitHub
- Cloud & Infrastructure: Microsoft Azure, Google Cloud Platform (GCP)
- Backend & Frontend: FastAPI, NodeJS, ReactJS
- Strong knowledge and passion for football (soccer)
- Experience working with football data is a plus
- Experience deploying AI applications to production
- Knowledge of vector databases and semantic search
- Experience with CI/CD and modern development workflows
What You'll Gain:
- Hands-on experience building production AI systems
- Exposure to advanced LLM engineering, agentic AI architectures and software engineering
- Opportunity to work on real-world football intelligence products
- Mentorship from experienced founders and engineers
- Flexible remote working environment
- Potential pathway to a full-time role
PLEASE DO NOT APPLY IF YOU ARE A CONTRACTOR OR ARE NOT WILLING TO DO AN INTERNSHIP.
AI Engineer Intern in Reading employer: FAIR Football AI
FAIR offers an exceptional opportunity for aspiring AI engineers to immerse themselves in the world of football intelligence while working remotely. With a strong emphasis on mentorship and hands-on experience, interns will not only develop cutting-edge AI applications but also gain invaluable insights into the intersection of technology and sports. The flexible work environment and potential for future employment make FAIR an attractive choice for those passionate about AI and football.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Intern in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with AI and football. Use platforms like LinkedIn to connect and engage with professionals; you never know who might have an opportunity for 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 can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of football analytics. Practice common interview questions and be ready to discuss how your skills align with the role of an AI Engineer Intern.
✨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 genuinely interested in joining our mission to revolutionise football intelligence.
We think you need these skills to ace AI Engineer Intern in Reading
Some tips for your application 🫡
Show Your Passion for AI and Football:Make sure to highlight your enthusiasm for both AI and football in your application. We want to see how your interests align with our mission of building advanced football intelligence.
Tailor Your CV and Cover Letter:Customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Demonstrate Your Technical Skills:Include specific examples of your programming experience, especially with Python and any relevant AI projects. We’re keen on seeing how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and keep track of your application. We can’t wait to hear from you!
How to prepare for a job interview at FAIR Football AI
✨Know Your AI Basics
Make sure you brush up on your understanding of LLMs and prompt engineering. Be ready to discuss how these concepts apply to football intelligence and the specific role you're applying for. This shows your passion and readiness to dive into the technical aspects.
✨Show Off Your Coding Skills
Prepare to demonstrate your Python programming skills. You might be asked to solve a coding problem or explain your previous projects. Have examples ready that highlight your experience with APIs and backend services, especially in relation to AI applications.
✨Get Familiar with Football Data
Since the company focuses on football intelligence, it’s crucial to have a good grasp of football data and its significance. Research how data analytics can influence game strategies and player performance. This will help you connect your technical skills with the company's mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI products and their future direction. This not only shows your interest but also gives you a chance to engage with the interviewers. Ask about their tech stack, challenges they face, or how they envision the evolution of FAIR.
