ABOUT US:
We are looking for a talented AI Engineer to join our Content Studio team. Content Studio builds next-generation AI solutions that transform live sports data into engaging narratives including automated match reports previews and sports articles. 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.
Why us
- Be part of the core AI engineering team building the future of sports storytelling.
- Work with cutting-edge LLM and agent frameworks in real production environments.
- Shape a product that reaches global sports fans every day.
THE CHALLENGE:
- 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:
- Full-stack development: Python JavaScript (React ).
- AI frameworks: LangGraph LangChain Google Agent Developer Kit (ADK).
- Prompting & evaluation: LLM prompting strategies evaluation pipelines.
- Cloud & DevOps: Google Cloud Platform (GCP) and modern CI/CD workflows.
- Domain: Data-to-text generation sports data APIs automated content systems.
ABOUT YOU:
- Solid foundation as a Full-Stack Developer (Python JavaScript) 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.
OUR OFFER:
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 innovationboth 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.
OURRECRUITMENTPROCESS:
Additional Information :
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 youre willing to learn and grow with us we invite you to join our team!
Remote Work :
No
Employment Type :
Full-time
ABOUT US:We are looking for a talented AI Engineer to join our Content Studio team. Content Studio builds next-generation AI solutions that transform live sports data into engaging narratives including automated match reports previews and sports articles. This role combines hands-on software engine...
ABOUT US:
We are looking for a talented AI Engineer to join our Content Studio team. Content Studio builds next-generation AI solutions that transform live sports data into engaging narratives including automated match reports previews and sports articles. 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.
Why us
- Be part of the core AI engineering team building the future of sports storytelling.
- Work with cutting-edge LLM and agent frameworks in real production environments.
- Shape a product that reaches global sports fans every day.
THE CHALLENGE:
- 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:
- Full-stack development: Python JavaScript (React ).
- AI frameworks: LangGraph LangChain Google Agent Developer Kit (ADK).
- Prompting & evaluation: LLM prompting strategies evaluation pipelines.
- Cloud & DevOps: Google Cloud Platform (GCP) and modern CI/CD workflows.
- Domain: Data-to-text generation sports data APIs automated content systems.
ABOUT YOU:
- Solid foundation as a Full-Stack Developer (Python JavaScript) 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.
OUR OFFER:
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 innovationboth 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.
OURRECRUITMENTPROCESS:
Additional Information :
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 youre willing to learn and grow with us we invite you to join our team!
Remote Work :
No
Employment Type :
Full-time
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