Staff Software Engineer - AI Team

JLL (Jones Lang LaSalle)

Remote

Quick summary

Work type
Remote
Location
Chicago, IL · Los Angeles, CA · Texas · New York, NY · San Francisco, CA
Salary
$180,000–$220,000 / yr
Posted
3 days ago
Closes
Aug 28, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $192k
This role $200k
$131k most similar roles pay here $259k

This role pays less than 52% of similar roles. Most pay $165,000–$219,425 — the shaded band above. At the midpoint, this role pays about $200k versus about $192k 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 78 open roles on FindRole.

Listed pay typically runs $140,000–$180,000 across 47 roles with salary data.

Most-posted roles

View all roles at JLL (Jones Lang LaSalle)

At a glance

TL;DR · Staff Software Engineer - AI Team

As a Tech Lead in AI Engineering at JLL, you will join the central AI platform team responsible for developing and maintaining foundational AI components such as the MCP Gateway and RAG services. Your role involves setting technical direction through design documents and hands-on development to ensure reliability, observability, and developer ergonomics. You must stay updated with the latest AI tooling ecosystem trends and integrate feedback into the product roadmap while owning backend services end-to-end. Ideal candidates have experience shipping AI platform components in production, working across multiple languages like Python, Node, and .NET, and are familiar with various data stores and agent frameworks such as Claude Agent SDK. This role offers a blend of greenfield projects and system evolution within a Fortune 200 company, providing significant visibility and impact on how thousands of employees work daily.

What you'll do

  • Set technical direction for AI platform foundation and ship core components.
  • Build and maintain MCP Gateway and shared RAG services for AI applications.
  • Ensure reliability, observability, and developer ergonomics of AI platforms.
  • Track AI tooling ecosystem trends and influence roadmap based on insights.
  • Own end-to-end lifecycle of backend services in production environments.

What we're looking for

  • Shipped and operated AI platform components in production.
  • Owned a backend service end-to-end with infrastructure fluency.
  • Comfortable working across multiple programming languages (Python, Node, .NET).
  • Experience with diverse data stores including relational, NoSQL, vector, and document databases.
  • Familiarity with agent frameworks like Claude Agent SDK and AI tooling ecosystems.
  • Clear communication skills and pragmatic technology judgment.

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