Responsibilities Build and optimize AI-driven workflows for data visualization and export Develop systems that analyze datasets and recommend the most suitable visualization types Design and evaluate LLM-based features, including prompt strategies and quality metrics Work on data classification, structuring, and enrichment to improve usability Turn experiments into production-ready services (Java-based backend) Define and track quality and success metrics (e.g., output accuracy, user value) Requirements Experience building data-driven or AI-powered systems (e.g., classification, RAG, data workflows) Strong Python skills (analysis, experimentation, prototyping) Pragmatic, product-focused mindset with an interest in end-user impact Motivation to learn and work with Java in production Knowledge of data visualization principles (chart types, best practices) Experience with LLMs, prompt engineering, or evaluation frameworks Familiarity with AWS, event-driven architectures, or messaging tools ATS Optimization Keywords
Hard Skills
Data Analysis Data Classification Data Structuring Data Enrichment Java Development Experimentation Prototyping Quality Metrics Definition Output Accuracy Tracking User Value Assessment
