Staff AI Engineer (m/f/d) at Sportradar

Leipzig, Saxony, Germany -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full-Stack Software Engineering, Applied AI Research, Traditional Machine Learning, NLP, LLM Fine-Tuning, Agentic Workflows, LangGraph, LangChain, Google Agent Developer Kit (ADK), Prompt Engineering, Model Evaluation, CI/CD Workflows, AWS Deployment, JavaScript, React, Python

Industry

Information Services

Description

Company Description 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. Job Description ABOUT US: We’re seeking a talented Staff AI Engineer with 5-7 years of experience to join our generative AI team, the core unit driving our flagship AI initiatives, including our primary product focused on transforming live sports data into engaging narratives like automated match reports, previews, and articles, as well as other innovative AI-driven products. This role blends advanced full-stack software engineering with cutting-edge applied AI research, emphasizing traditional machine learning, NLP, LLM fine-tuning, and modern AI workflows to shape products that reach global audiences. THE CHALLENGE: Build Full-Stack AI Applications: Lead the design and development of scalable, user-facing tools and automated pipelines for diverse AI-driven products, ensuring seamless integration from data ingestion to output delivery. Integrate and Extend AI Frameworks: Architect and implement sophisticated agentic workflows using frameworks like LangGraph, LangChain, Google Agent Developer Kit (ADK), and custom solutions to process complex datasets and deliver intelligent applications. AI Prompting & LLM Fine-Tuning: Develop, test, and optimize prompt strategies and fine-tune large language models (LLMs) for data-to-text generation and other use cases, ensuring high accuracy, coherence, and domain relevance. Model Evaluation & Iteration: Design and execute rigorous evaluation pipelines for LLMs and traditional ML models, incorporating rule-based metrics, human-in-the-loop feedback, and performance benchmarking to drive continuous improvement. Apply Traditional ML Expertise: Leverage expertise in NLP, model fine-tuning, and traditional machine learning techniques (e.g., classification, clustering, embeddings) to enhance AI-driven solutions. Collaborate Cross-Functionally: Partner with product managers, data scientists, and domain experts to align AI capabilities with product goals, providing technical leadership and mentorship. Deploy and Scale: Deliver production-ready services on cloud platforms like AWS, with a focus on robust monitoring, testing, and performance optimization using modern CI/CD workflows. Technologies We Use Note: Preferred but not required; you can learn on the job. Full-Stack Development: JavaScript, React, Node.js, Python AI Frameworks: LangGraph, LangChain, Google Agent Developer Kit (ADK), TensorFlow, PyTorch Prompting & Evaluation: LLM prompting strategies, fine-tuning pipelines, evaluation frameworks Traditional ML & NLP: Scikit-learn, spaCy, Hugging Face Transformers, model fine-tuning, embeddings Cloud & DevOps: AWS, modern CI/CD workflows Domain: Data-to-text generation, real-time data APIs, automated content systems ABOUT YOU: Advanced Full-Stack Expertise: 5-7 years of experience as a Full-Stack Developer with a strong command of JavaScript, React, Node.js, and Python, coupled with a proven track record of building scalable, production-ready applications. Traditional ML and NLP Proficiency: Hands-on experience with traditional machine learning techniques, particularly in NLP (e.g., text classification, sentiment analysis, embeddings), model fine-tuning, and feature engineering. Modern AI Workflow Mastery: Deep understanding of LLM fine-tuning, agentic workflows, and prompt engineering, with the ability to design and optimize complex AI pipelines. Technical Leadership: Ability to lead projects, mentor junior engineers, and drive technical decisions with a focus on scalability, reliability, and innovation. Self-Driven Ownership: A proactive, self-motivated mindset with the ability to take initiative, explore innovative ideas, and drive projects forward independently in a fast-paced environment. Comfort with Ambiguity: Thrive in dynamic settings, identifying priorities and delivering solutions with creativity, technical rigor, and strategic insight. Adaptability and Curiosity: Eager to rapidly learn and apply emerging AI frameworks, tools, and methodologies to solve complex problems across domains. Production-Ready Mindset: Focus on building robust, scalable systems with a practical approach to problem-solving and a commitment to quality. Strong Collaboration: Exceptional ability to align with cross-functional teams, provide technical guidance, and communicate progress effectively. Bonus Experience: Familiarity with real-time data pipelines, media automation, or domain-specific AI applications (e.g., sports, finance, or content generation) is a plus but not required. If you’re excited to leverage your full-stack expertise, traditional ML knowledge, and modern AI workflow skills to build transformative products across domains, we’d love to hear from you! Apply now to join our core AI team as a Staff AI Engineer and help shape the future of intelligent applications. OUR OFFER: 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. 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. 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. 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!

Responsibilities

Lead the design and development of scalable, user-facing AI applications and automated pipelines, integrating and extending agentic workflows using frameworks like LangGraph and LangChain. Develop, test, and optimize prompt strategies and fine-tune LLMs for data-to-text generation while designing rigorous evaluation pipelines for continuous model improvement.