jobapplier

LLM Researcher

Oddin

Skills

Required

  • tool integration
  • RAG-based
  • vector or graph databases
  • agentic reasoning workflows
  • Python
  • PyTorch
  • Hugging Face Transformers
  • FastAPI
  • multimodal LLMs
  • vLLM / Triton / DeepSpeed
  • serving

Preferred

  • LLM
  • sports broadcasting / data-driven content generation
  • live commentary
  • analytics
  • RAG
  • models
  • retrieval-augmented generation

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.

Responsibilities

  • 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.
  • training
  • fine-tuning

Requirements

  • LLMs
  • in production environments, including
  • 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).

multimodal LLMs

  • and integrating textual and visual inputs.
  • Familiarity with tools like vLLM, Triton, or DeepSpeed for efficient model serving.

Preferred

  • Experience with sports broadcasting or data-driven content generation (e.g., live commentary, analytics).

Contributions to open-source AI tools or research publications in NLP, multimodal AI, or agent systems.

By applying to this position, you consent to Valka.AI s.r.o., ID No.: 231 32 221, Pod dráhou 1637/6, Holešovice, 170 00 Praha 7, Czech Republic together with it's subsidiaries processing your personal data under Regulation (EU) 2016/679.

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