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Generative AI Engineer

Global leader in betting and gaming entertainment, trusted by over 200 partners, providing betting platform and solutions for 25+ years.
London, UKLviv, Lviv Oblast, Ukraine, 79000Athens, Greece
Machine Learning
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
AI · Gaming

Description For Generative AI Engineer

OpenBet, a global leader in betting and gaming entertainment with over 25 years of experience, is seeking a Generative AI Engineer to join their innovative team. This role offers an exciting opportunity to shape the future of sports betting through cutting-edge AI technology. The position involves crafting AI prototypes, fine-tuning LLMs, and building powerful APIs that bring next-generation intelligence to their platform.

The ideal candidate will work at the intersection of research, product, and engineering, delivering real-world solutions using advanced technologies like Retrieval-Augmented Generation and cloud-based AI tooling from major providers. You'll be part of a dynamic team of 1,200+ experts across 14 countries, pushing the boundaries of what's possible in a fast-moving, highly regulated industry.

The role requires expertise in generative AI, from prompt engineering to deploying production-ready LLMs, along with strong cloud computing skills and mastery of tools like TensorFlow or PyTorch. The position offers attractive benefits, including flexible working options, career progression opportunities, access to cutting-edge tools, and regular participation in knowledge-sharing sessions and industry events.

At OpenBet, you'll join a world-class team that's redefining the sports betting industry through AI, working in a vibrant and collaborative environment. The company processes bets during iconic events like the FIFA World Cup and Super Bowl, maintains 85 licenses, and serves 20 World Lottery Association operators. This is an excellent opportunity for someone passionate about innovation and excited by the intersection of AI, technology, and sports betting.

Last updated 7 days ago

Responsibilities For Generative AI Engineer

  • Craft cutting-edge AI prototypes
  • Fine-tune LLMs
  • Build powerful APIs for platform intelligence
  • Work across research, product, and engineering teams
  • Deliver real-world solutions using Retrieval-Augmented Generation
  • Implement cloud-based AI tooling from Microsoft, AWS, and Google

Requirements For Generative AI Engineer

Python
  • Fluency in generative AI and prompt engineering
  • Experience in deploying production-ready LLMs
  • Cloud computing skills
  • Expertise in TensorFlow or PyTorch
  • Knowledge of AI trends and ethics
  • Collaborative and curious mindset

Benefits For Generative AI Engineer

  • Flexible working options
  • Career progression opportunities
  • Access to cutting-edge tools and resources
  • Training and development support
  • Knowledge-sharing sessions
  • Conference and industry event participation
  • Forward-thinking workplace

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