[Hiring] Senior AI Engineer - LLM Systems & RAG Optimization @Texas Sports Academy

Role Description

Texas Sports Academy is on the lookout for a Senior AI Engineer specializing in LLM (Large Language Model) Systems and RAG (Retrieval-Augmented Generation) Optimization. Your role will be pivotal in developing and optimizing AI-driven solutions that enhance our offerings for athletes and coaches.

• Design and implement LLM systems tailored to the needs of athletes and coaches.
• Optimize retrieval-augmented generation processes to improve the quality and relevance of AI-generated content.
• Collaborate with cross-functional teams to define AI strategies and ensure alignment with business goals.
• Conduct research on cutting-edge AI methodologies and integrate them into existing systems.
• Monitor and evaluate system performance, making data-driven adjustments as necessary.
• Mentor junior team members and help cultivate a culture of innovation within the department.
• Document system architecture, processes, and best practices for future reference and team knowledge sharing.

Qualifications

• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• Extensive experience with Large Language Models (LLMs) and retrieval-augmented generation systems.
• Proficient in programming languages such as Python, with a strong understanding of data structures and algorithms.
• Familiarity with AI/machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries.
• Experience with optimizing AI models for efficiency and performance.
• Strong analytical and problem-solving skills with the ability to work effectively in a fast-paced environment.
• Exceptional communication skills to articulate complex concepts to stakeholders and team members.