AI Data Engineer III — GRC Automation & Agents

RealPage, Inc.; Manila; On-site; PHP 900,000 - 2,000,000; Full time

Job summary

RealPage, Inc. is seeking an experienced AI Data Engineer III to design, build, and operate data pipelines, AI agents, and automations for GRC services with a data governance focus. You will implement human-in-the-loop controls and align with risk-management standards.

The role requires 4+ years in software/AI engineering, strong Python skills, and hands-on experience with LLM patterns, RAG, and MCP. Expect collaboration across teams and a focus on scalable, governed automation.

Qualifications

• Minimum 4+ years in software/AI engineering.
• Hands-on experience building LLM-powered applications and agentic workflows.
• Proficiency in Python and modern AI development tooling.
• Experience with LLM application patterns - prompt engineering, RAG, function/tool calling, MCP.

Responsibilities

• Build and integrate agentic AI solutions and automations within enterprise GRC platform.
• Develop control automations, evidence collectors, and governance tooling.
• Engineer AI-assisted workflows to populate and reconcile Risk Register across domains.
• Automate linkage between risk entries, controls, and remediation tracking.
• Build AI-assisted tooling for policy drafting, framework crosswalks, and review cadences.
• Design agentic workflows with guardrails for accuracy, confidentiality, and IP boundaries.
• Maintain observability and evaluation harnesses for deployed agents.

Skills

Python

LLM development

Agentic workflows

GRC domain knowledge

Collaboration

Documentation

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Claude Code

Cursor

GitHub Copilot

ServiceNow IRM

Archer

AuditBoard

AWS Bedrock/SageMaker

Azure AI

GCP Vertex

Job description

RealPage, Inc. is seeking an experienced AI Data Engineer III to design, build, and operate data pipelines, AI agents, and automations for GRC services with a data governance focus. You will implement human-in-the-loop controls and align with risk-management standards.

The role requires 4+ years in software/AI engineering, strong Python skills, and hands-on experience with LLM patterns, RAG, and MCP. Expect collaboration across teams and a focus on scalable, governed automation.