LLM Researcher

📋 Description Finetune or train LLMs for our use cases Develop AI agents to automate business processes Generate real-time commentary content for games (FIFA, NBA, etc.) Work with LLM frameworks, retrieval-augmented generation (RAG), and multimodal models Collaborate with a small, fast-moving team of ML engineers, product developers, and domain experts 🎯 Requirements Production LLMs: training, fine-tuning, inference, integration Experience building RAG systems; vector/graph databases Strong function calling, structured output, and agentic reasoning Hands-on with LangChain, LangGraph, or orchestration frameworks Python proficiency; PyTorch, Hugging Face Transformers, FastAPI Nice-to-have: sports broadcasting, multimodal LLMs, vLLM/Triton/DeepSpeed, OSS 🎁 Benefits Hybrid work with a diverse, innovative team Work on cutting-edge LLM and multimodal tech Impactful projects in interactive video content Collaborative environment with ML engineers and domain experts