The Role
Design, train, and fine-tune LLMs and multimodal models; build RAG systems using vector/graph databases; develop agentic reasoning and function-calling workflows; integrate tools and serve models (vLLM/Triton/DeepSpeed); use orchestration frameworks (LangChain/LangGraph); deploy inference/APIs (FastAPI); collaborate with engineers and product teams to generate real-time dynamic commentary and automated AI agents.
Summary Generated by Built In
About Valka
Valka, a visionary spin-off from the Realms Group (the parent company of Oddin.gg), is on a mission to revolutionize the way people create and experience digital content. Our team believes that content shouldn’t just be consumed; it should be co-created in real time, blurring the lines between imagination and reality. By harnessing the power of cutting-edge AI, we aim to build an interactive human-digital platform where virtual characters respond dynamically to each user’s voice, text, gestures, and more.
This is your chance to join a diverse group of innovators who are driven to redefine what’s possible in generative content. Together, we’re changing the paradigm from passive viewing to active participation, unlocking new creative frontiers across gaming, entertainment, education, and beyond.
About the Role
We are looking for an experienced LLM Researcher to help us build intelligent, automated systems that enhance both internal workflows and customer-facing applications. In this role, you are expected to finetune existing language models or train new ones, more adapted to our use cases.
Your work will directly contribute to the development of AI agents that automate complex business processes, as well as generate dynamic, real-time commentary content for games such as FIFA, NBA, and more.
This is a role 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.
Strong understanding of function calling, structured output generation, and agentic reasoning workflows.
Hands-on experience with LangChain, LangGraph, or other orchestration frameworks.
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.
Join us at Valka to lead a new wave of interactive video content—one where your creativity and technical prowess will help transform entire industries and reimagine how digital content is created, shared, and experienced.
This role offers a unique opportunity to shape the future of interactive video content, where digital humans can engage in meaningful and dynamic interactions with users. If you're a passionate ML expert with a drive to innovate and create immersive experiences, we encourage you to apply.
Skills Required
- Experience with LLMs in production, including training, fine-tuning, inference, and tool integration.
- Experience building retrieval-augmented generation (RAG) systems and working with vector or graph databases.
- Strong understanding of function calling, structured output generation, and agentic reasoning workflows.
- Hands-on experience with orchestration frameworks such as LangChain or LangGraph.
- Proficiency in Python and libraries/frameworks such as PyTorch, Hugging Face Transformers, and FastAPI.
- Experience with sports broadcasting or live data-driven commentary generation.
- Familiarity with multimodal LLMs and integrating textual and visual inputs.
- Familiarity with efficient model serving tools like vLLM, Triton, or DeepSpeed.
- Contributions to open-source AI tools or research publications in NLP, multimodal AI, or agent systems.
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The Company
What We Do
Oddin.gg is a global B2B provider of end-to-end esports betting solutions, specializing in esports data science. The company provides betting operators with real-time odds feeds, automated risk management, and embeddable iFrame integrations. By leveraging machine learning and mathematical models, Oddin.gg optimizes partner profitability and user engagement across a wide range of esports titles, including Dota2 and League of Legends.
