Staff AI Engineer (m/f/d)

We are seeking a Staff AI Engineer with 5-7 years of experience to join our generative AI team. This role involves building full-stack AI applications, integrating AI frameworks like LangGraph and LangChain, optimizing LLM prompting and fine-tuning for data-to-text generation, and applying traditional machine learning expertise. The engineer will collaborate cross-functionally, deploy scalable services on AWS, and provide technical leadership to shape innovative AI-driven products for global audiences.

Must Have

• Lead design and development of scalable, user-facing AI tools and automated pipelines.
• Architect and implement agentic workflows using frameworks like LangGraph, LangChain, Google ADK.
• Develop, test, and optimize prompt strategies and fine-tune LLMs for data-to-text generation.
• Design and execute rigorous evaluation pipelines for LLMs and traditional ML models.
• Leverage expertise in NLP, model fine-tuning, and traditional machine learning techniques.
• Partner with product managers, data scientists, and domain experts.
• Deliver production-ready services on cloud platforms like AWS with robust monitoring and CI/CD.
• 5-7 years of experience as a Full-Stack Developer with strong command of JavaScript, React, Node.js, and Python.
• Hands-on experience with traditional machine learning techniques, particularly in NLP.
• Deep understanding of LLM fine-tuning, agentic workflows, and prompt engineering.
• Ability to lead projects, mentor junior engineers, and drive technical decisions.
• Proactive, self-motivated mindset with the ability to take initiative and drive projects.
• Thrive in dynamic settings, identifying priorities and delivering solutions.
• Eager to rapidly learn and apply emerging AI frameworks, tools, and methodologies.
• Focus on building robust, scalable systems with a practical approach.
• Exceptional ability to align with cross-functional teams and provide technical guidance.

Good to Have

• Familiarity with real-time data pipelines.
• Experience with media automation.
• Experience with domain-specific AI applications (e.g., sports, finance, or content generation).
• Experience with TensorFlow.
• Experience with PyTorch.
• Experience with Scikit-learn.
• Experience with spaCy.
• Experience with Hugging Face Transformers.

Perks & Benefits

• A collaborative environment with colleagues from all over the world.
• 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.
• Global Employee Assistance Programme.
• Calm and Reulay app access.
• Online training videos.
• Flexible working hours.

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

Staff AI Engineer – Generative AI Team (5-7 Years Experience) Transforming Data into Impactful AI Solutions

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!