[Remote] AI Data Engineer Job Details | SAP Taulia

Note: The job is a remote job and is open to candidates in USA. Taulia is seeking an AI Data Engineer to prepare high-quality, retrieval-ready data for its AI ecosystem. The role builds and manages data integrations, pipelines, and retrieval architectures, while coordinating with data teams and the AI Solutions Architect to enable secure, performant AI agents.

Responsibilities

• Building and maintaining the custom connectors (APIs, ETL pipelines) required to extract data from core business systems for use in AI tools
• Working with system owners to unlock "siloed" data that is currently inaccessible to our AI ecosystem
• Designing and maintaining the data pipelines that feed our AI knowledge base
• Optimizing "Retrieval-Augmented Generation" (RAG) performance by improving how documents are chunked, tagged, and indexed to reduce hallucinations
• Ensuring data freshness so agents never act on obsolete information
• Creating and maintaining the "AI Data Library" - a comprehensive technical map of where our enterprise data lives, its schema, and its owner
• Working with business teams to identify "Dark Data" (valuable data trapped in PDFs or desktops) and bringing it into the AI ecosystem
• Implementing automated checks to monitor data quality and completeness
• Ensuring sensitive data (PII) is properly flagged and excluded from general AI access where appropriate

Skills

• Demonstrated experience integrating data with Enterprise Search engines and AI agents, or RAG-based systems
• You understand what makes data "searchable" for an AI
• Practical experience preparing data specifically for consumption by Large Language Models and agentic orchestration tools
• You know how to structure data to minimize hallucinations
• 5+ years in data engineering, ETL development, or database management
• Strong experience building custom API connectors and data ingestion scripts
• Experience working with unstructured data (text, documents) and NLP concepts
• Strong proficiency in SQL and Python
• Meticulous attention to detail—you care deeply about data cleanliness
• Understanding of enterprise knowledge management challenges
• Ability to audit data sources and identify gaps
• Strong communication skills to work with business owners on data access and cleanup

Benefits

• Flexible work schedule
• Remote-friendly environment
• Comprehensive Insurance Coverage (Medical, Dental, Vision, Life)
• Comprehensive PTO Structure (PTO, Sick Leave, Bereavement)
• Global Parental Leave
• Company issued equipment (Laptop, monitor, etc.)
• 401k with match
• Career Development/Pathing
• EAP Program/Mental Health Advocacy
• Supportive Work Culture

Company Overview

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