[Hiring] AI Product Engineer @JLL

Role Description

JLL's Project & Development Services business line is building production AI capabilities for construction and real estate project delivery, and we need someone who thinks at a systems level. You're a solution developer, but you’re also an engineer who builds the infrastructure that makes AI solutions reliable, scalable, and maintainable.

In this role you'll be responsible for the engineering layer underneath our AI-powered workflow tools:

• Extraction scripts
• Validation frameworks
• Output schemas
• Integration connectors
• Quality harnesses that turn a capable AI model into a dependable production tool

You'll set engineering standards, make architectural decisions, and be the person others come to when a pipeline is misbehaving in a way nobody can explain.

Qualifications

• Strong Python proficiency: 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 auth patterns (OAuth, API keys, token refresh), pagination, and error handling
• Comfort with document parsing libraries: PyMuPDF, python-docx, openpyxl, pandas, and equivalent tools for common enterprise file formats
• Experience with Git-based development workflows: branching, versioning, code review, and structured release management
• Familiarity with enterprise integration surfaces, particularly Microsoft 365 (SharePoint, OneDrive, Graph API)
• Hands-on experience building the code layer around LLM APIs: structuring prompts programmatically, managing token budgets, parsing and validating model outputs, and handling failure cases gracefully
• Understanding of how structured context, schema-constrained outputs, and validation pipelines improve AI solution reliability in production
• Familiarity with document chunking, embedding workflows, and retrieval patterns (RAG), including the tradeoffs between retrieval approaches for enterprise document types
• 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: evaluation frameworks, regression suites, benchmark datasets
• Comfort defining "correct" programmatically for outputs that don't have a single right answer, and building scoring logic that reflects domain standards
• Instinct for failure modes: silent errors, schema drift, edge-case documents, and model-version-induced regressions
• Experience in or meaningful exposure to construction, commercial real estate, or professional services environments is a plus
• Prior work in a technical role at a professional services firm, PropTech company, or enterprise software organization is relevant background
• You’ve built something from scratch specifically to understand how it worked
• You're comfortable making principled decisions in the absence of established conventions, and you document those decisions so the next person understands the reasoning
• You hold your technical opinions firmly enough to be useful and loosely enough to update them
• You're energized by fields where the tooling is still being invented and you can influence how it develops

Requirements

• This position does not provide visa sponsorship. 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

Company Description

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously.