Senior AI Engineer - LLM Systems & RAG Optimization
- Location
- Remote (US)
- Job type
- Full-time
- Level
- Lead / Staff
- Education
- Master's degree
- Listed
- 16 days ago
Skills & highlights for this role
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Python
- Data structures
- Algorithms
- AI/machine learning frameworks
- Natural Language Processing (NLP)
- Model optimization for efficiency and performance
- Analytical and problem-solving skills
- Communication skills
Also useful
- TensorFlow
- PyTorch
- Sports technology domain knowledge
- Mentoring junior engineers
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.
About Texas Sports Academy
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.
From Texas Sports Academy's careers page, first listed on Rolev.ai on October 25, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Senior AI Engineer - LLM Systems & RAG Optimization role at Texas Sports Academy, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Common questions
Where is the Senior AI Engineer - LLM Systems & RAG Optimization job at Texas Sports Academy located?
Yes, this Senior AI Engineer - LLM Systems & RAG Optimization opening at Texas Sports Academy is listed as Remote (US). Always check Texas Sports Academy's application page for specific state eligibility or relocation policies.
What qualifications are required for Senior AI Engineer - LLM Systems & RAG Optimization at Texas Sports Academy?
For the Senior AI Engineer - LLM Systems & RAG Optimization role, Texas Sports Academy highlights a master's degree; experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Python, Data structures, Algorithms, AI/machine learning frameworks. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Senior AI Engineer - LLM Systems & RAG Optimization position at Texas Sports Academy?
This listing links directly to Texas Sports Academy's Workable application page. You can apply directly on Texas Sports Academy's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workable application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.