Key Responsibilities: 

• Design, develop, and deploy advanced large language model (LLM) based systems.  
• Overall understanding of different LLM models, especially OpenAI models. 
• Collaborate with cross-functional teams (especially developers) 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/CAG 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 and agentic platforms. 
• 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. 
• Understanding of technical infrastructure in large corporations, especially AZURE environment. 
• 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.
• Experience with building agentic solutions for various business use cases. 
• Experience with automation based on AI implementation in processes or platforms. 
• Experience with integrations of AI into various case, document or data handling platforms.
• Effective communication skills, with proficiency in English and Czech.