Senior AI Engineer – LLM Systems, RAG Optimization

🔥 2 hours ago

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Texas Sports Academy

WebsiteLinkedInAll Job Openings

2 - 10 employees

📚 Education

⚽ Sports

🤖 Artificial Intelligence

Education • Sports • Artificial Intelligence

Texas Sports Academy is a private, Texas-based elite sports academy and accelerated school for serious student‑athletes. Students (grades 3–11) complete core academics in two focused morning hours using AI-powered personalized learning and mastery-based progression, then spend afternoons (noon–4pm) in professional-level sports training and life-skills development led by former NBA, NFL, and MLB athletes. The program emphasizes accelerated academic growth, athletic development, NIL/content preparation, and practical life skills; it operates multiple Texas locations (Carrollton, Houston, Plano) and is not affiliated with the State of Texas.

📋 Description

• 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.

🎯 Requirements

• 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.