Software Engineer, AI (mfd)

Sportradar; Leipzig; Hybrid; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading sports data company in Leipzig seeks an AI Engineer to join their generative AI team. This role involves building user-facing tools and integrating AI frameworks for sports data storytelling. The ideal candidate will have a solid foundation in full-stack development and a strong interest in AI applications. The position offers a hybrid work model, allowing flexibility and collaboration with colleagues globally in a diverse environment.

Leistungen

Flexible working hours

Global Employee Assistance Programme

Online training videos

Vibrant community and social events

Qualifikationen

• Solid foundation as a Full-Stack Developer with strong interest in AI-driven applications.
• Self-driven and self-motivated; able to take ownership and explore new ideas.
• Comfortable with ambiguity and able to drive tasks forward with initiative.

Aufgaben

• Build scalable user-facing tools for content creation.
• Design workflows integrating sports data.
• Collaborate with teams to align AI capabilities with sports storytelling.

Kenntnisse

Full-Stack Development

AI-driven applications

Collaboration

Self-motivated

Problem-solving

Tools

JavaScript

React

Python

AWS

CI/CD

Jobbeschreibung

ABOUT US

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, 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.

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: JavaScript, React, Python.

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

Prompting & evaluation: LLM prompting strategies and evaluation pipelines.

Cloud & DevOps: AWS 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 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

A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia, and the US) including various social events and team building.

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 that welcome all participants.

Global Employee Assistance Programme.

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

Online training videos.

Flexible working hours.

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. 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.

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!

Remote Work: No

Employment Type: Full‑time