Sportradar

Sportradar is a trailblazer in global sports technology, where your skills will enhance the creation of immersive experiences for sports fans and bettors worldwide. 

Established in 2001, Sportradar operates at the intersection of the sports, media, and betting industries, delivering top-tier technology solutions to sports federations, media companies, consumer platforms, and betting operators to drive business growth. 

Partnered with prestigious organizations such as the NBA, ATP, NHL, MLB, NASCAR, FIFA, UEFA, Bundesliga, AFC and Conmebol, we cover nearly a million events annually across all major sports. 

As part of our team, you'll leverage our extensive industry relationships and expertise to innovate and elevate the sports fan experience. Moreover, through our Integrity Services division, you'll contribute to promoting an integrity-driven environment that safeguards the sports industry. 

If you're ready to embrace a pivotal role in transforming the sports industry and reimagining the sports fan experience, explore our exciting career opportunities at Sportradar.

We are looking for a talented AI Engineer to join our generative AI team. The Team builds next-generation AI solutions that transform live sports data into engaging narratives — including automated match reports, previews, and sports articles and videos. This role combines hands-on software engineering with cutting-edge applied AI research, giving you the opportunity to shape how millions of fans consume sports content.

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.

Technologies We Use (preferred, but can be learned on the job):

Full-stack development: JavaScript, React, Node.js, Python

AI frameworks: LangGraph, LangChain, Google Agent Developer Kit (ADK)

Prompting & evaluation: LLM prompting strategies, evaluation pipelines

Cloud & DevOps: AWS and modern CI/CD workflows

Domain: Data-to-text generation, sports data APIs, automated content systems

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 (Engineering offices in Europe, Asia and US) 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. 

Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). 

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together.

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

Software Engineer, AI

Sportradar

Informacije o podjetju