AI Product Engineer

JLL (Jones Lang LaSalle)

Remote

Quick summary

Work type: Remote
Location: Chicago, IL
Salary: $246,120–$246,120 / yr
Posted: 3 days ago
Closes: Aug 28, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $246k

$152k most similar roles pay here $256k

This role pays more than 75% of similar roles. Most pay $162,000–$245,625 — the shaded band above. At the midpoint, this role pays about $246k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About JLL (Jones Lang LaSalle)

JLL (Jones Lang LaSalle) is a global professional services firm specializing in real estate and investment management, providing services to buyers, sellers, tenants, landlords, investors, and developers. Industry: Commercial Real Estate Services

JLL (Jones Lang LaSalle) currently has 80 open roles on FindRole.

Listed pay typically runs $140,000–$160,000 across 51 roles with salary data.

Most-posted roles

View all roles at JLL (Jones Lang LaSalle)

At a glance

TL;DR · AI Product Engineer

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Join JLL's Project & Development Services team as a senior AI infrastructure engineer responsible for building the robust engineering layer beneath AI-powered workflow tools in construction and real estate. You will develop extraction scripts, validation frameworks, output schemas, integration connectors, and quality harnesses to ensure reliable production systems. Key tasks include setting engineering standards, making architectural decisions, and troubleshooting complex issues. The role requires strong Python skills, REST API design knowledge, and familiarity with Microsoft 365 integrations. Additionally, experience in building code layers around LLM APIs, understanding document chunking workflows, and defining quality assurance for probabilistic outputs is essential. Ideal candidates have a background in construction or commercial real estate and thrive in environments where they can influence the development of new tooling.

Skills

Python REST APIs OAuth Git Microsoft Graph SharePoint OneDrive MCP PyMuPDF python-docx openpyxl pandas pytest LLM APIs RAG CI/CD

What you'll do

Design structured output contracts and validation logic for AI solutions.
Develop extraction scripts and integration connectors for enterprise systems.
Establish engineering standards and maintain patterns as the solution portfolio grows.
Troubleshoot and optimize AI pipelines in production environments.
Ensure data quality and reliability by handling schema drift and edge cases.

What we're looking for

Strong Python proficiency for data parsing and validation
Experience with REST API design and consumption in enterprise environments
Familiarity with document parsing libraries and enterprise file formats
Hands-on experience building code layers around LLM APIs and handling failure cases
Ability to build test infrastructure for systems with probabilistic outputs
Understanding of agentic patterns and multi-step reasoning pipelines
Experience or exposure to construction, commercial real estate, or professional services environments

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