
Senior AI Engineer – LLM Systems, RAG Optimization
Posted Jul 27

Posted Jul 27
This is a fully remote position, open to applicants in United States.
• Design and develop LLM systems specifically tailored to meet the requirements of athletes and coaches.
• Enhance retrieval-augmented generation processes to elevate the quality and relevance of AI-generated content.
• Work in collaboration with cross-functional teams to establish AI strategies and ensure they align with business objectives.
• Conduct research on innovative AI methodologies and incorporate them into current systems.
• Monitor and assess system performance, making adjustments based on data-driven insights as needed.
• Provide mentorship to junior team members and foster a culture of innovation within the department.
• Document system architecture, processes, and best practices for future reference and knowledge sharing among the team.
• A Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related discipline.
• Extensive experience with Large Language Models (LLMs) and retrieval-augmented generation systems.
• Proficient in programming languages like Python, with a solid understanding of data structures and algorithms.
• Familiarity with AI/machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries.
• Experience in optimizing AI models for enhanced efficiency and performance.
• Strong analytical and problem-solving abilities, capable of thriving in a fast-paced environment.
• Excellent communication skills to convey complex concepts to stakeholders and team members effectively.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and continuous learning.
• Flexible work hours and remote work options.
• Comprehensive health benefits and wellness programs.
• Collaborative and inclusive company culture.
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