Key Responsibilities:

• Design, develop, and deploy advanced large language model (LLM) based systems.
• Collaborate with cross-functional teams to integrate cutting-edge AI technologies, ensuring alignment with business objectives.
• Lead technical projects and initiatives related to LLMs, including system optimization and scalability improvements.
• Integrate LangChain technology to streamline interactions between language models and structured data.
• Conduct experiments to refine and adapt AI solutions to specific industry needs, ensuring robustness and scalability.
• Work collaboratively with product teams to integrate AI technologies into user-centric solutions.
• Contribute to research initiatives and publish findings in major technology conferences and journals.

Requirements:

• Master's degree in computer science, Artificial Intelligence, Mathematics, Statistics or a related field.
• Demonstrated expertise in developing and implementing RAG systems, particularly for complex data extraction and analysis.
• Extensive experience with programming and data analysis tools (including Node.js experience).
• Strong foundation in experimental design and a research-oriented approach to problem-solving in data science.
• Demonstrated expertise in the large language models.
• Strong experience in programming and AI modelling, and familiarity with AI frameworks.
• Proven capability in AI projects, particularly involving natural language processing and machine learning applications.
• Excellent problem-solving skills, with a portfolio of deploying effective AI solutions in real-world settings.

Preferred Qualifications:

• Experience with cloud technologies and modern practices to deploy and scale AI models.
• Experience with Node.js
• Effective communication skills, with proficiency in English and Czech.