Texas Sports Academy

Academics and training for young athletes

Senior AI Engineer - LLM Systems & RAG Optimization

Natural Language Processing & LLMsConfirmed live in the last 24 hours

Full-timeRemote in USA$250k - $300kRemote

About the Job

Requirements

A Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Extensive experience with large language models and retrieval-augmented generation systems.
Proficiency in programming languages such as Python, with a strong understanding of data structures and algorithms.
Familiarity with artificial intelligence and machine learning frameworks such as TensorFlow and PyTorch, and natural language processing libraries.
Experience optimizing artificial intelligence models for efficiency and performance.
Strong analytical and problem-solving skills, with the ability to work effectively in a fast-paced environment.
Ability to articulate complex concepts to stakeholders and team members.

Responsibilities

Design and implement large language model systems tailored to the needs of athletes and coaches.
Optimize retrieval-augmented generation processes to improve the quality and relevance of artificial intelligence-generated content.
Collaborate with cross-functional teams to define artificial intelligence strategies and ensure alignment with business goals.
Conduct research on cutting-edge artificial intelligence 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.

Senior AI Engineer - LLM Systems & RAG Optimization

Texas Sports Academy · United States (Remote) · Contract · Posted 2026-02-27

Salary: USD 250,000–300,000

Workplace: remote

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.

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.

Apply

Apply at Texas Sports Academy

About the Company

Texas Sports Academy

Academics and training for young athletes

Texas Sports Academy is a private school model designed for serious student-athletes in grades three through eleven. It combines accelerated, personalized academics in the morning with extended athletic coaching and practical life-skills development in the afternoon. Programs use mastery-based learning and sport-specific instruction to help students pursue academic progress without treating training as an after-school add-on. The academy operates multiple Texas locations and is part of the Alpha School education network, with coaches and guides supporting both learning and athletic development.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
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