AI Data Engineer — Build AI-Ready Data Pipelines

Taulia; United States; Hybrid; USD 165,000 - 185,000; Full time

Benefits offered by this job

Flexible schedule

Remote-friendly environment

Insurance coverage (Medical, Dental, V

PTO & leave

Equipment provided

401k match

Career development

Mental health support

Supportive work culture

Job summary

Taulia is actively seeking an AI Data Engineer to ensure our agent ecosystem is powered by high-quality, structured data and retrieval-ready interfaces. The role bridges the AI Center of Excellence with data teams to coordinate data readiness and architect custom integrations for exposing business data to AI tools.

You will build reusable data pipelines and retrieval architectures, enabling AI agents to access the right information securely and efficiently, in collaboration with the AI Solutions

Qualifications

• AI & Search ecosystem experience integrating data with Enterprise Search engines and AI agents, or RAG-based systems.
• LLM & agent familiarity: data prepared for LLMs and agent orchestration tools.
• Integration expertise: building custom API connectors and data ingestion scripts.
• Unstructured data expertise: handling text/documents and NLP concepts.
• SQL & scripting: strong SQL and Python skills.

Responsibilities

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

Skills

AI & Search Ecosystem Experience

LLM & Agent Familiarity

Integration Expertise

Unstructured Data Expertise

SQL & Scripting

Tools

APIs

ETL pipelines

NLP libraries

Job description

Taulia is actively seeking an AI Data Engineer to ensure our agent ecosystem is powered by high-quality, structured data and retrieval-ready interfaces. The role bridges the AI Center of Excellence with data teams to coordinate data readiness and architect custom integrations for exposing business data to AI tools.

You will build reusable data pipelines and retrieval architectures, enabling AI agents to access the right information securely and efficiently, in collaboration with the AI Solutions