At a Glance
- Tasks: Join our team to develop AI-driven sports tech and redefine athletic performance.
- Company: PACETEQ, a cutting-edge sports technology company focused on innovation.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborative environment with direct access to leadership and exciting career advancement.
- Why this job: Make a real impact in sports by turning AI concepts into game-changing solutions.
- Qualifications: 3-6 years in fullstack engineering with AI/ML experience and strong JavaScript skills.
The predicted salary is between 60000 - 80000 £ per year.
Before the lights go out… before the big move is called… There’s data. There’s technology. There’s AI. As a Full Stack AI Engineer, you will be a core part of our product and AI engineering team as we build the future of sports tech. You won’t just write code - you’ll help redefine what’s possible in professional sports. You're joining at a pivotal moment: when AI is breaking into every level of sport and redefining the competitive edge. Your work will directly influence how athletes perform, how decisions are made, and how fans and teams connect with data.
If you’re passionate about innovation with real-world impact, and excited by the intersection of technology and high-performance environments - this is your opportunity to own outcomes, move fast, and thrive when the stakes are high, by turning AI from concept to scoreboard.
- Drive innovation by leading the development of AI-based systems that will redefine what’s possible in sports.
- Design, develop, and maintain scalable fullstack web applications integrating AI/ML models.
- Collaborate on building PACETEQ’s unified Sports Data Platform.
- Implement backend services, RESTful APIs, and frontend UIs in modern JavaScript frameworks (React, or similar).
- Integrate ML models into production systems.
- Help define software architecture that supports real-time decision intelligence for sports.
- Contribute to DevOps and ML Ops pipelines.
- Learn and grow through cross-functional projects with a crew of embedded engineers, application developers, and sports experts.
- Operate with speed and precision in a performance-driven environment.
- Report directly to our CTO and work shoulder-to-shoulder with the CEO when the stakes are high.
Requirements:
- 3–6 years experience in fullstack engineering with exposure to AI/ML.
- Proficiency with JavaScript, React, and other web technologies.
- Hands-on experience deploying machine learning models in a production environment.
- Strong API design skills (REST / GraphQL).
- Experience with containerization (Docker), cloud platforms (AWS), CI/CD.
- Familiarity with AI tools/libraries (scikit-learn, PyTorch/TensorFlow, OpenCV, etc.).
- High accountability and ownership: able to independently deliver full features.
- Strong verbal + written communication in English.
- Adaptable mindset — solving technical challenges in fast-moving environments.
At PACETEQ, performance starts with people. We reward talent, celebrate collaboration, and create space for you to do your best work while enjoying the journey.
Remote FULL STACK AI ENGINEER employer: Paceteq Gmbh
At PACETEQ, we pride ourselves on being at the forefront of sports technology, where innovation meets real-world impact. Our collaborative work culture fosters creativity and growth, allowing you to thrive in a high-performance environment while directly influencing the future of sports through AI. With opportunities for professional development and a commitment to celebrating talent, joining our team means being part of a dynamic journey that redefines what's possible in the world of sports.
StudySmarter Expert Advice🤫
We think this is how you could land Remote FULL STACK AI ENGINEER
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with fellow tech enthusiasts. 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 AI/ML. This is your chance to demonstrate how you can turn concepts into real-world applications, just like we do at StudySmarter.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences. Remember, we want to see how you think and solve problems under pressure!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our innovative team at PACETEQ, where we redefine sports tech together.
We think you need these skills to ace Remote FULL STACK AI ENGINEER
Some tips for your application 🫡
Show Your Passion for AI and Sports:When you're writing your application, let your enthusiasm for AI and sports shine through. We want to see how your skills can redefine what's possible in the sports tech world. Share any relevant projects or experiences that highlight your passion!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your full stack engineering experience, especially with JavaScript and React, and don’t forget to mention any hands-on work with AI/ML models. We love seeing how you fit into our vision!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, we’re looking for someone who can communicate effectively, so show us you can do that right from the start!
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 the role. Plus, it shows you’re keen on joining our team at PACETEQ!
How to prepare for a job interview at Paceteq Gmbh
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially JavaScript, React, and AI/ML frameworks. Brush up on your knowledge of RESTful APIs and containerization with Docker, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've integrated AI/ML models or developed full-stack applications. 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 Sports Tech Landscape
Familiarise yourself with current trends in sports technology and how AI is being used to enhance performance and fan engagement. Showing that you’re passionate about the intersection of tech and sports can set you apart from other candidates.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing complex technical concepts. Good communication is key, especially since you’ll be working closely with cross-functional teams. Don’t hesitate to ask clarifying questions if you need more information during the interview.
