Senior AI Engineer - LLM Systems & RAG Optimization
Core
Designing, developing, and fine-tuning LLM systems and optimizing RAG processes to deliver personalized insights and performance recommendations for athletes and coaches.
Role type
Senior IC machine-learning engineer (LLM systems & RAG)
Builds
Scalable AI solutions for sports training programs
Domain
Sports technology / NLP / Machine Learning
Deliverable
production ML models
Required skills
Large Language Models (LLMs), retrieval-augmented generation (RAG), Python, data structures and algorithms, AI/machine learning frameworks (TensorFlow, PyTorch), model optimization
Preferred skills
NLP libraries, system architecture documentation, mentoring
Technologies
Python, TensorFlow, PyTorch
Responsibilities
Design and implement LLM systems tailored to athlete and coach needs; Optimize RAG processes to improve content quality and relevance; Collaborate with cross-functional teams to define AI strategies; Conduct research on cutting-edge AI methodologies; Monitor and evaluate system performance; Mentor junior team members
Seniority
Senior, hands-on IC