AI Engineer, Data Visualization – AI Workflows

Jobtailor; Hamburg; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor in Hamburg is seeking a data/AI-focused engineer to build AI-driven data visualization workflows and production-ready services. You will analyze datasets, recommend visualization types, and design LLM-based features with prompt strategies and quality metrics.

This role blends data classification, structuring, and enrichment with a pragmatic, product-focused mindset and growth opportunities. Proficiency in Python and interest in Java production work are important, as is collaboration

Qualifikationen

• 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.

Aufgaben

• Build and optimize AI-driven data visualization workflows.
• Analyze datasets and recommend suitable visualization types.
• Design and evaluate LLM-based features, including prompts 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).

Kenntnisse

Data Analysis

Data Classification

Data Structuring

Data Enrichment

Java Development

Experimentation

Prototyping

Quality Metrics Definition

Output Accuracy Tracking

User Value Assessment

Python

AWS

Messaging systems

Event-driven architectures

LLMs

Prompt engineering

Tools

Python

AWS

Messaging systems

Event-driven architecture

LLMs

Prompt engineering

Jobbeschreibung

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