Company Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.
Job Description
ABOUT US
As a Software Engineer in Sportradar's AI unit, you will work within an established, high performing team of experts on the design, development and deployment of software solutions that are leveraging AI and powering Sportradar’s products.
The position will be focused on the development of applications that bring AI and advanced analytics solutions for our media and betting clients, collaborating closely with our data scientists, technical leads and product owners in our Betting Entertainment product domains.
Sportradar is a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world, in turn entertaining millions of sports enthusiasts.
THE CHALLENGE
- Collaborate closely with data scientists to turn prototypes and experimental models into scalable, production-ready applications.
- Work on projects involving large language models (LLMs) and agentic frameworks.
- Own the full development lifecycle — from architecture and implementation to deployment, monitoring, and support.
- Operate in a cloud-native environment with a strong focus on automation observability, and operational excellence.
- Keep up with emerging AI technologies and frameworks to influence technical decisions and drive innovation.
- Present ideas and solutions to software developers and business stakeholders in a clear and understandable way.
ABOUT YOU
- Advanced knowledge of programming in Python with demonstrable hands-on experience developing production grade solutions (3+ years of experience).
- Bonus: Experience with orchestration frameworks for agentic systems (e.g. LangGraph, LangChain).
- Bonus: Understanding of machine learning concepts and hands-on experience with machine learning frameworks (e.g., PyTorch, Keras, Tensorflow).
- Bonus: Experience with containerization (Docker) and deployment/orchestration tools (Kubernetes, Terraform, etc.).
- Experience working with Mac/Linux environments.
- Bachelor of Computer Science / Engineering, or related field; equivalent experience acceptable.
- Fluent in English (written and spoken).
- Autonomous, rigorous, creative and a team player with an ownership-driven mindset.
OUR OFFER
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US).
- Ability to shape your own workday and career via a clearly defined professional and personal development plan.
- Opportunity to work with senior leadership team and develop yourself within an inspiring and fast-growing company.
- Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
- Flexible working hours.
OUR RECRUITMENT PROCESS
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- First interview: First meeting with Hiring Manager to dive into your experience and your skills
- Technical Assessment : A home task to test your technical skills needed for this position.
- Second Interview: To discuss feedback on your technical solutions and to discuss team/cultural fit.
- Final Steps: Receive feedback and, if successful, an offer!
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 you’re willing to learn and grow with us, we invite you to join our team!