Key Responsibilities:

• 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.
• Participate in 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.
• Design and develop high-performance backend services using Node.js, Express, and other relevant frameworks to handle complex business logic and data processing.
• Implement and manage APIs for internal and external use, ensuring optimal performance, security, and scalability.
• Utilize databases like MongoDB, PostgreSQL, and Redis efficiently, ensuring data integrity and speed.
• Deploy applications on cloud platforms such as Azure using container technologies like Podman and orchestration tools like Kubernetes.

Requirements:

• Master's degree in Computer Science, Engineering, Artificial Intelligence, Mathematics, Statistics or a related field.
• Extensive experience with programming and data analysis tools (including Node.js experience).
• Demonstrated expertise in the large language models and agentic platforms.
• Experience in programming and AI modelling, and familiarity with AI frameworks.
• Understanding of technical infrastructure in large corporations, especially MS AZURE environment.
• Excellent problem-solving skills, with a portfolio of deploying effective AI solutions in real-world settings.
• Proven track record of developing scalable and efficient backend systems using modern Javascript / typescript frameworks and tools.
• Strong understanding of cloud infrastructure, DevOps practices, and continuous deployment pipelines.
• Proficient in using version control systems, preferably Git, and familiarity with CI/CD tools.
• Fluency in Czech, both written and spoken, is required.

Preferred Qualifications:

• Experience with cloud technologies and modern practices to deploy and scale AI models.
• Experience with NLP tools, libraries and applications of LangChain in a production environment.
• Demonstrated expertise in developing and implementing RAG/CAG systems, particularly for complex data extraction and analysis.
• Experience with complex integrations of solutions into different platforms.
• Excellent problem-solving capabilities and the ability to adapt quickly to new technologies.