About the Role
We are looking for an experienced LLM Researcher to help us build intelligent, automated systems that enhance customer-facing applications. In this role, you are expected to utilize, optimize and finetune existing language models or train new ones, more adapted to our use cases - and turn successful prototypes into reliable, maintainable, and observable production services. Your work will directly contribute to the development of dynamic, real-time commentary content for games such as FIFA, NBA, or interactive avatars.
This is a remote role with an option to join our Prague office, offering the opportunity to work with cutting-edge LLM frameworks, retrieval-augmented generation (RAG), and multimodal models that process both language and vision. You will collaborate with a small, fast-moving team of ML engineers, product developers, and domain experts to design systems that combine reasoning, tool use, and creative content generation.
Must-have:
- Solid experience with LLMs in production environments, including training , fine-tuning , inference , and tool integration .
- 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 workflows .
- 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 commentary, analytics).
- Familiarity with multimodal LLMs and integrating textual and visual inputs.
- Familiarity with tools like vLLM, Triton, or DeepSpeed for efficient model serving.
- Contributions to open-source AI tools or research publications in NLP, multimodal AI, or agent systems.