About the job
ABOUT US:
Join our innovative team at Sportradar as a Senior Staff AI Engineer. We are looking for a dynamic professional with 5-7 years of experience to elevate our generative AI capabilities. You will play a crucial role in our core unit that drives flagship AI initiatives, including our primary product that transforms live sports data into captivating narratives like automated match reports, previews, and articles. This position merges advanced full-stack software engineering with pioneering applied AI research, focusing on traditional machine learning, NLP, LLM fine-tuning, and contemporary AI workflows to create products for a global audience.
YOUR ROLE:
- Lead Full-Stack AI Development: Spearhead the design and implementation of scalable, user-centric tools and automated pipelines for diverse AI-driven applications, ensuring a seamless workflow from data ingestion to output delivery.
- Enhance AI Frameworks: Architect and deploy advanced agentic workflows utilizing frameworks like LangGraph, LangChain, Google Agent Developer Kit (ADK), and bespoke solutions to efficiently process complex datasets and deliver intelligent applications.
- Optimize AI Prompting & LLM Fine-Tuning: Create, evaluate, and refine prompting strategies and fine-tune large language models (LLMs) for data-to-text generation and additional use cases, ensuring high levels of accuracy, coherence, and relevance.
- Conduct Model Evaluation & Iteration: Develop and execute comprehensive evaluation pipelines for LLMs and traditional ML models, employing rule-based metrics, human-in-the-loop feedback, and performance benchmarking for continuous enhancement.
- Leverage Traditional ML Expertise: Utilize your knowledge in NLP, model fine-tuning, and traditional machine learning techniques (e.g., classification, clustering, embeddings) to improve AI-driven solutions.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and domain experts to align AI capabilities with product objectives, while providing technical guidance and mentorship.
- Deployment and Scalability: Deliver production-ready services using cloud platforms such as AWS, focusing on robust monitoring, testing, and performance optimization through modern CI/CD practices.
Technologies We Embrace:
Note: Familiarity is preferred but not mandatory; we support learning on the job.
- Full-Stack Development: JavaScript, React, Node.js, Python
- AI Frameworks: LangGraph, LangChain, Google Agent Developer Kit (ADK), TensorFlow, PyTorch
- Prompting & Evaluation: Strategies for LLM prompting, fine-tuning pipelines, evaluation frameworks
- Traditional ML & NLP: Scikit-learn, spaCy, Hugging Face Transformers, model fine-tuning, embeddings