AI Engineer, Data Visualization – AI Workflows

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

Soft Skills

• Product-Focused Mindset

• Motivation to Learn