Senior AI Architect: LLM Systems & RAG Optimization

Texas Sports Academy; Texas; On-site; USD 150,000 - 230,000; Full time

Job summary

Texas Sports Academy is seeking a Senior AI Engineer specialized in LLM systems and Retrieval-Augmented Generation to advance our sports tech offerings for athletes and coaches.

You will design, develop, and fine-tune scalable LLM solutions, optimize RAG pipelines, and collaborate with data scientists, software engineers, and domain experts to deliver context-aware insights and performance recommendations.

Qualifications

• Master's or PhD in CS/AI or related field.
• Extensive experience with LLMs and retrieval-augmented generation.
• Proficiency in Python and solid data structures/algorithms.
• Familiarity with AI/ML frameworks and NLP libraries.
• Experience optimizing AI models for efficiency and performance.
• Strong analytical and problem-solving skills.
• Excellent communication to convey complex concepts to stakeholders.

Responsibilities

• Design and implement LLM systems tailored for athletes and coaches.
• Optimize RAG processes to improve content quality and relevance.
• Collaborate with cross-functional teams to align AI with business goals.
• Conduct research on cutting-edge AI methods and integrate them.
• Monitor system performance and make data-driven adjustments.
• Mentor junior team members and foster innovation.
• Document architecture, processes, and best practices for future reference.

Skills

LLMs & RAG optimization

Python programming

AI/ML frameworks

NLP libraries

Performance optimization

Analytical problem solving

Effective communication

Education

Master's or PhD in CS/AI

Tools

TensorFlow

PyTorch

Job description

Texas Sports Academy is seeking a Senior AI Engineer specialized in LLM systems and Retrieval-Augmented Generation to advance our sports tech offerings for athletes and coaches.

You will design, develop, and fine-tune scalable LLM solutions, optimize RAG pipelines, and collaborate with data scientists, software engineers, and domain experts to deliver context-aware insights and performance recommendations.