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.
