Staff Software Engineer

JLL•Washington, DC

2d•Remote

About The Position

JLL is building an AI-native engineering organization, and the central AI platform team owns the foundations on which other AI applications depend. Today, that is an MCP Gateway and a shared RAG platform. Tomorrow, it will be whatever the AI-native stack demands next. The product surface is moving quickly, and the platform beneath it has to move faster. You will set the technical direction for this layer and ship its core, working day-to-day with senior peers to keep the direction coherent. 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.

Requirements

Shipped and operated AI platform components in production.
Owned a backend service end-to-end.
Comfortable across multiple languages (Python, Node, .NET).
Worked with diverse data stores: relational, NoSQL, object/blob, vector, and document.
Familiarity with agent frameworks such as the Claude Agent SDK.
Shipped AI-assisted production code.
Infrastructure fluency (Terraform, IAM, and networking).

Nice To Haves

Clear written and verbal communication.
Pragmatic technology judgment.
Curiosity and healthy skepticism toward AI.
Comfort with ambiguity.
Systems thinking.

Responsibilities

Build the platform foundation, including the MCP Gateway and shared RAG services.
Set technical direction through design documents and ship the components yourself.
Own reliability, observability, and developer ergonomics.
Track the AI tooling ecosystem and feed signal back into the roadmap.
Carry services end-to-end.