Join JLL's MarTech Engineering Team as a Staff Software Engineer and work closely with marketing subject matter experts to design, prototype, and deploy AI agents that automate real-world marketing workflows. You will build production-grade AI solutions across campaigns, content, social media, ABM, and performance analytics, ensuring they are reliable, brand-aligned, and factually accurate. Key responsibilities include developing integrations with enterprise systems like CMS, DAM, CRM, and ad platforms, designing multi-agent orchestration patterns, and maintaining the reliability and observability of LLM-powered workflows in production. Required skills encompass hands-on experience with modern LLM APIs, RAG system development, and deploying AI services to cloud environments securely. This role demands deep technical judgment and exceptional communication across various levels within JLL's dynamic, distributed team environment.
Skills
Python
JavaScript
LLM APIs
CI/CD
Kubernetes
AWS
Docker
RAG systems
PostgreSQL
Redis
GraphQL
RESTful APIs
Git
GitHub
Swagger/OpenAPI
JSON
YAML
Markdown
Confluence
Jira
Slack
Zoom
Google Workspace
Microsoft Office Suite
What you'll do
Design and deploy AI agents that automate real marketing workflows with marketing SMEs.
Build integrations with marketing systems like CMS, CRM, DAM, ad platforms, and analytics tools.
Ensure reliability, observability, and cost efficiency of LLM-powered workflows in production environments.
Develop multi-agent orchestration patterns for specialized marketing agents to coordinate effectively.
Extract composable LLM workflows from live agent implementations into reusable primitives for the Marketing Domain Skills Library.
Address production agent engineering challenges such as hallucination grounding, tool reliability, and evaluation design.
What we're looking for
5+ years of software engineering experience with a focus on production systems and enterprise API integrations.
Hands-on experience with modern LLM APIs from multiple providers, including prompt engineering and tool use.
Proven ability to design and implement agent systems with multi-step reasoning, tool orchestration, and human-in-the-loop escalation paths.
Direct experience addressing challenges in deploying AI agents to production environments, such as reliability and cost optimization.
Demonstrated capability to deploy LLM-powered services or agents to cloud environments with strong security and observability practices.
Experience working closely with non-technical domain experts to translate requirements into technical solutions.
Track record of making strategic build-versus-wait decisions in complex engineering projects.
Market check
Salary context
This
$220,000–$270,000
range sits above
96%
of similar postings on FindRole.
Peer median band
$132,000–$234,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$159,907–$214,500
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
48 open roles
on FindRole.
Listed pay typically runs
$110,000–$135,000
across 23 roles with salary data.