AI Knowledge Base Engineer, VIER

• You have a Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related technical field
• You bring expertise in programming languages essential for AI development, such as Python, Go, or Java
• You are knowledgeable of machine learning, NLP, deep learning, and neural networks, you have experience with AI application frameworks and libraries like DSPy, Dify or Haystack
• You have a deep understanding of
• Management principles, content management systems, vector and/or graph databases, and Retrieval-Augmented Generation (RAG) implementation
• You are proficient in data analysis, data structures, algorithms, and data engineering tools (e.g., SQL, GraphQL)
• You bring excellent analytical and problem-solving skills, adaptability and a passion for continuous learning in a fast-paced field and interpersonal abilities to navigate team dynamics and convey technical concepts clearly

Desirable

• We enable the digital transformation of our customers using our cloud-based applications to deliver productivity gains and increase the quality of results. We are seeking a talented AI Knowledge Base Developer to design, build, and maintain the intelligent systems that will organize, manage, and leverage application centered knowledge
• In this role, you will bridge the gap between content management and artificial intelligence, ensuring our AI applications have access to accurate, relevant, and secure information to drive informed decision-making and automate workflows
• In this role you design the system architecture for the application specific knowledge base implementation, including data ingestion pipelines, vector and graph databases, and retrieval mechanisms (e.g., RAG)
• You make sure to select and integrate machine learning models, specifically Large Language Models (LLMs) and Natural Language Processing (NLP) tools, that can understand, process, and retrieve information from the knowledge base
• You collaborate with subject matter experts to ensure the knowledge base content is accurate, up-to-date, and well-structured, you define and optimize content integrity and governance protocols
• You integrate the AI knowledge systems with business applications to ensure seamless information flow
• You monitor system performance, debug issues, and continuously refine data retrieval processes to improve accuracy, latency, and relevance of AI outputs
• You implement secure access protocols and safety measures to protect sensitive information within the knowledge base, adhering to relevant data privacy requirements
• You create clear documentation of processes, methodologies, and system capabilities, and effectively communicate technical concepts and system limitations to non-technical stakeholders