Software Engineer, AI

• Build full-stack AI applications: Develop scalable, user-facing tools for editors and automated content pipelines
• Integrate AI frameworks: Design and implement agentic workflows that bring sports data to life
• AI prompting & evaluation: Craft, test, and refine prompt strategies for data-to-text generation, ensuring factual accuracy and high-quality output
• Model evaluation & iteration: Run systematic evaluations of LLM output using both rule-based and human-in-the-loop feedback
• Collaborate cross-functionally: Partner with product managers, data scientists, and editorial teams to align AI capabilities with sports storytelling needs
• Deploy and scale: Deliver production-ready services on cloud platforms with strong monitoring, testing, and performance optimization

• Solid foundation as a Full-Stack Developer with strong interest in AI-driven applications
• Self-driven and self-motivated: able to take ownership, explore new ideas, and contribute without constant direction
• Comfortable with ambiguity — you can identify what needs doing and drive it forward with initiative and creativity
• Curiosity and adaptability to learn emerging AI frameworks and tools quickly
• Practical problem-solving mindset with focus on building production-ready systems
• Strong collaboration skills — you know when to align with the team, seek guidance, and share progress

Bonus: experience in sports tech, media automation, or real-time data pipelines

• A collaborative environment with colleagues from all over the world including various social events and teambuilding
• Flexibility to manage your workday and tasks with autonomy
• A balance of structure and autonomy to tackle your daily tasks
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
• Global Employee Assistance Programme
• Calm and Reulay app
• Online training videos
• Flexible working hours