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Senior Generative AI Engineer (LLM, Agents) in IT & DevOps Department
in Namecheap - Ukraine

Remote
Full-time
Senior
Permanent

Job description

See job offer description.


The Senior Generative AI Engineer will be responsible for performing research and development of Generative AI solutions. You will design and implement solutions using advanced prompt engineering techniques and retrieval-augmented generation (RAG). You will also participate in the creation and development of Machine Learning models and AI services while assessing their quality. This role requires a strong foundation in Generative AI projects, proficiency in Python, and experience in Data Science or Data Analysis. The ideal candidate should be passionate about innovations in AI and engage in scientific research within the Generative AI field. Your contributions will directly impact the development of cutting-edge services that enhance our offerings. Additionally, you will have the opportunity to collaborate with experienced colleagues and participate in regular knowledge sharing within the team. You’ll be part of a friendly and open atmosphere that encourages personal and professional development, allowing you to influence the product development process and gain recognition for your work. The culture at Namecheap combines a high level of professionalism with the innovative spirit of a startup, providing you with the best conditions for growth.

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Benefits

  • Decent market rate compensation
  • Support for personal and professional development
  • In-house events and trainings
  • Regular knowledge sharing
  • Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per month
  • Maternity leave program
  • Professionally strong environment

Job requirements

  • Experience with Generative AI projects
  • Proficiency in Python
  • Substantial experience in Data Science or Data Analysis
  • PhD or Master’s degree in a relevant field (preferred)
  • Experience with frameworks for Generative AI and reinforcement learning
  • Understanding of MLOps and LLMOps principles
  • Experience in evaluating the quality of Generative AI services
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