Enterprise AI Production Engineer — Remote

Jones Lang LaSalle Incorporated; Chicago (IL); Remote; USD 187,000 - 229,000; Full time

Benefits offered by this job

401(k) plan with company contributions

Medical, Dental & Vision Care

Paid parental leave

Paid Time Off

Daily Pay

Job summary

Jones Lang LaSalle Incorporated is seeking a skilled engineer to build the production AI layer for real estate project delivery. You will implement extraction scripts, validation, and output schemas, and integrate AI workflows with enterprise systems, emphasizing reliability, scalability, and maintainability.

You’ll design multi-step pipelines, ensure data quality, and set engineering standards across the toolchain, including packaging, versioning, and logging.

Qualifications

• Strong Python proficiency: data parsing, file I/O, schema validation, subprocess management, packaging, and test authoring (pytest or similar)
• 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 structured context, schema-constrained outputs, and validation pipelines improve AI solution reliability in production
• 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: 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
• This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Responsibilities

• Engineer the extraction scripts, validation frameworks, output schemas, and integration connectors under our AI-powered workflow tools
• Set engineering standards, make architectural decisions, and troubleshoot pipelines that misbehave
• Connect AI solutions to enterprise environments using REST APIs, SharePoint, OneDrive, Graph API
• Design multi-step reasoning pipelines that connect models to enterprise tools and data via agentic infrastructure
• Establish and maintain engineering patterns: packaging conventions, versioning, configuration, logging, and error handling

Skills

Python

REST API design

Document parsing

Git workflows

SharePoint

LLM integration

RAG techniques

Agentic patterns

Testing infra

CRE exposure

Tools

PyMuPDF

python-docx

openpyxl

pandas

Git

SharePoint

OneDrive

Graph API

pytest

Job description

Jones Lang LaSalle Incorporated is seeking a skilled engineer to build the production AI layer for real estate project delivery. You will implement extraction scripts, validation, and output schemas, and integrate AI workflows with enterprise systems, emphasizing reliability, scalability, and maintainability.

You’ll design multi-step pipelines, ensure data quality, and set engineering standards across the toolchain, including packaging, versioning, and logging.