About the RoleJLL is rolling out AI agents directly into HR: recruiting, employee services, HR operations, benefits, payroll and the systems that run them.
You will own a specific HR tower as a part of a 1-2 member engineering team. The Center of Excellence in our central AI team gives you the methodology, the platform, and the patterns; HR gives you the problems, the SMEs, and the appetite for change. Your job is to turn that into shipped agents and MCP integrations, then hand the mature apps off to other engineers as it stabilizes.
We expect engineers at this level to operate with AI tools as a primary part of their workflow. Your leverage comes from the hooks, skills, workflows, and automations you install to ship safely to production. The leverage in this role is AI, not headcount.
What You'll Do • Build and ship agents for HR, in close partnership with HR SMEs and operators.
• Stand up MCP servers and connectors: pre-production first, then through CDR (Critical Design Review) into production.
• Bootstrap skills, integrations, and evals on top of JLL's AI platform (LLM gateway, shared RAG services, MCP toolchain).
• Run workshops with HR teams and translate their workflows into agent skills.
• Feed patterns, anti-patterns, and platform gaps back into the Center of Excellence, so the next FDE moves faster.
Must Have Experience • Shipped production agents using Claude Agent SDK, MCP, or equivalent stack.
• Production code in at least one of Python, Node, or .NET, with comfort moving across the others.
• Full stack engineering across the whole application: modern frontend (React, Angular, or equivalent with TypeScript/JavaScript), backend services and REST APIs, authentication and authorization (OAuth, SSO, JWT), and automated testing (unit, integration, end-to-end).
• Cloud experience deploying and operating production workloads on AWS, Azure, or GCP: compute (serverless or containers), managed databases, storage, secrets management, networking basics, and monitoring and logging.
• CI/CD and DevOps: building and maintaining automated build, test, and deploy pipelines (for example GitHub Actions, Azure DevOps, or equivalent), containerization with Docker, and infrastructure as code (Terraform, CloudFormation, Bicep, or equivalent).
• Worked with diverse data stores: relational, NoSQL, object/blob, vector, and document.
• Operated end-to-end as a one-person team: design, ship, support, hand off.
Nice to Have • Knowledge of Workday or other HR systems is a plus.
Traits • Strong written and verbal communication; comfortable in the room with non-engineers.
• Pragmatic judgment on when to ship, when to harden, and when to hand off.
• Systems thinking with a focus on failure modes; AI writes most of the code, you own it.
• Comfort with tasking and ability to run multiple agents in parallel as part of daily workflow.
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Expected compensation for this position:162,700.00 - 199,300.00 USD per year
Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:On-site -Chicago, IL
If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits include:
- 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
