Senior AI Engineer - 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 on the lookout for a Senior AI Engineer specializing in LLM (Large Language Model) Systems and RAG (Retrieval-Augmented Generation) Optimization. As we continue to push the boundaries of sports technology, your role will be pivotal in developing and optimizing AI-driven solutions that enhance our offerings for athletes and coaches. You will be responsible for designing, developing, and fine-tuning LLM systems that can offer personalized insights and performance recommendations based on data-driven analysis. Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You will work collaboratively with data scientists, software engineers, and domain experts to implement scalable AI solutions that drive innovation in our training programs. If you are passionate about harnessing the power of AI to transform the sports industry and have a strong foundation in NLP and machine learning, this is the perfect opportunity for you to make an impact.

Responsibilities

• 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.

• 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.