Remote AI Platform Engineer for Enterprise Real Estate

JLL

United States

Remote

USD 235,000 - 255,000

Full time

6 days ago
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Benefits offered by this job

401(k) plan with matching
Medical, Dental & Vision
Paid parental leave
Paid Time Off
Daily Pay

Job summary

JLL seeks a systems-level AI engineer to build the infrastructure behind AI-powered workflows. You will design, validate, and maintain extraction scripts, output schemas, and integration connectors that turn models into production tools.

You’ll own quality harnesses, ensure production-ready definitions, and connect solutions to JLL’s enterprise environment with robust authentication, error handling, and scalable architectures. Remote Chicago-based role with competitive pay.

Qualifications

  • Strong Python proficiency and data parsing
  • REST API design and auth patterns
  • Experience with document parsing libraries
  • Git-based development workflows
  • Familiarity with Microsoft 365 integration

Responsibilities

  • Working with real-world data in construction and real estate project delivery
  • Output design and quality assurance for structured outputs
  • Enterprise system integration via REST APIs and Microsoft 365
  • Agentic architecture and MCP integration for multi-step pipelines
  • Platform engineering and setting engineering standards

Skills

Python proficiency
REST API design
Document parsing
Git workflows
Microsoft 365 integration
LLM API integration
Schema validation

Tools

PyMuPDF
python-docx
openpyxl
pandas
SharePoint
OneDrive
Graph API

Job description

JLL seeks a systems-level AI engineer to build the infrastructure behind AI-powered workflows. You will design, validate, and maintain extraction scripts, output schemas, and integration connectors that turn models into production tools.

You’ll own quality harnesses, ensure production-ready definitions, and connect solutions to JLL’s enterprise environment with robust authentication, error handling, and scalable architectures. Remote Chicago-based role with competitive pay.

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