AI Product Engineer

🕒 June 13

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $246.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 75%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

🤝 B2B

💼 Consulting

Real Estate • B2B • Consulting

Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.

📋 Description

• Develop production AI capabilities for construction and real estate project delivery • Build extraction scripts, validation frameworks, output schemas, integration connectors, and quality harnesses for AI-powered workflow tools • Develop familiarity with construction and real estate project-delivery data landscapes • Design structured output contracts and validation logic for AI solutions • Define production-readiness standards and test solutions against diverse real-world document sets • Own detection and recovery logic for unexpected output and silent degradation • Connect AI solutions to enterprise systems using REST APIs, Microsoft Graph, SharePoint, OneDrive, and other integration surfaces • Implement authentication lifecycle management, retry logic, rate-limit handling, and resilient enterprise integrations • Design and build multi-step reasoning pipelines using the Model Context Protocol and similar agentic infrastructure • Establish engineering patterns for packaging, versioning, configuration management, logging, and error handling • Write internal tooling to accelerate solution development and make it less error-prone • Make architectural decisions that support scaling teams and codebases

🎯 Requirements

• Strong Python proficiency, including data parsing, file I/O, schema validation, subprocess management, packaging, and test authoring (pytest or similar) • Solid understanding of REST API design and consumption, including OAuth, API keys, token refresh, pagination, and error handling • Comfort with document parsing libraries including PyMuPDF, python-docx, openpyxl, and pandas • Experience with Git-based development workflows, branching, versioning, code review, and structured release management • Familiarity with Microsoft 365 integration surfaces, particularly SharePoint, OneDrive, and Graph API • Hands-on experience building the code layer around LLM APIs • Understanding of structured context, schema-constrained outputs, and validation pipelines • Familiarity with document chunking, embedding workflows, and retrieval patterns (RAG) • Exposure to agentic patterns, multi-step reasoning pipelines, and tool use via MCP or similar protocols • Experience building test infrastructure for systems with probabilistic outputs, including evaluation frameworks, regression suites, and benchmark datasets • Comfort defining correctness programmatically and building scoring logic reflecting domain standards • Instinct for silent errors, schema drift, edge-case documents, and model-version regressions • Experience in or meaningful exposure to construction, commercial real estate, or professional services environments is a plus • Prior technical role at a professional services firm, PropTech company, or enterprise software organization is relevant background • Candidates must be authorized to work in the United States without sponsorship

🏖️ Benefits

• 401(k) plan with matching company contributions • Comprehensive Medical, Dental & Vision Care • Paid parental leave at 100% of salary • Paid Time Off and Company Holidays • Early access to earned wages through Daily Pay • Supportive culture and comprehensive benefits package prioritizing mental, physical and emotional health