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LLM Researcher

Oddin.gg

Role overview

Qualifications

  • Solid experience with LLMs in production environments
  • Experience building RAG-based systems and working with vector or graph databases
  • 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)

Responsibilities

  • Utilize, optimize and finetune existing language models or train new ones
  • Turn successful prototypes into reliable, maintainable, and observable production services
  • Collaborate with ML engineers, product developers, and domain experts to design systems
  • Contribute to the development of dynamic, real-time commentary content for games

Key facts

Hard skills

About the company

Oddin.gg logo

Oddin.gg

Sports Betting & iGaming

Oddin.gg is the number one B2B choice for esports betting, enabling the growth of its partners by providing an engaging esports betting experience through its end-to-end esports betting ecosystem. Oddin.gg’s clients benefit from its multi-award winning esports odds feed, risk management, iFrame solution, widgets, 24/7 content, live esports data, and marketing services. The company maximizes its partners’ profitability by combining automated infrastructure and machine learning algorithms with advanced data science. Oddin.gg powers solutions for Betsson, Betway, Yolo Group, Stake, OpenBet, Vibra Gaming, Betby, and many more sportsbook and platform providers on a global scale. Oddin.gg is licensed in New Jersey, Colorado, West Virginia, Ohio, Arizona, Maryland, US, and Ontario, Canada, and is in the process of acquiring multiple more licenses in North America. Our mindset Born from a deep understanding of esports and a burning desire to build something meaningful, Oddin.gg was founded in 2018 with a singular goal: to transform our experience and adventurous spirit into something bold, exciting, and lasting. Since day one, we've been driven by curiosity, ambition, and a relentless pursuit of excellence. We're not just building a company; we're creating an environment where talented people come together, prioritize delivery, get things done, and take full ownership. Here, focus, accountability, and teamwork aren't just buzzwords—they're the very pillars of how we operate. We champion those who take initiative, care deeply about their impact, and know how to enjoy the process. Because when our people thrive, Oddin.gg truly soars. Oddin.gg is growing—and fast. In just a few years, we've exploded from 50 to nearly 300 team members, and we're not hitting the brakes. We're launching new verticals, evolving our processes, and unlocking fresh opportunities for our people to learn, experiment, and shine.

Company details

IndustrySports Betting & iGaming
Company size201 - 500

Links

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Job description

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.


Responsibilities

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.
    •

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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