LLM Researcher

📋 Description

• Utilize, optimize, and fine-tune existing language models or train new ones adapted to specific use
• Turn successful prototypes into reliable, maintainable, and observable production services
• Build intelligent, automated systems for customer-facing applications, including dynamic, real-time
• Work with cutting-edge LLM frameworks, retrieval-augmented generation (RAG), and multimodal models
• Collaborate with a small, fast-moving team of ML engineers, product developers, and domain experts
• Deploy, monitor, and integrate LLM-based systems into the overall solution

🎯 Requirements

• Solid experience with LLMs in production environments, including training, fine-tuning, inference
• Experience building RAG-based systems and working with vector or graph databases
• Experience deploying, monitoring, and integrating these systems into the overall solution
• Strong understanding of function calling, structured output generation, and agentic reasoning
• Proficiency in Python and key libraries (e.g., PyTorch, Hugging Face Transformers, FastAPI)
• Nice-to-have: Experience with sports broadcasting or data-driven content generation (e.g., live