Senior Software Engineer, AI Platform Enablement

JLL empowers you to shape a brighter way .   Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

We are building JLL's internal AI platform: the layer every team in the firm uses to ship AI agents and AI-backed products. That means a gateway that puts a large and growing set of models from multiple providers behind one API, a shared chat surface that makes any agent reachable by employees across the firm, the developer tooling that takes an agent from an idea to something running in production, etc. Dozens of applications across JLL already run on the platform, with more being moved onto it. When one of the teams behind them gets stuck, whether it is an expired token deep inside an agent run, a model call failing at the gateway, or an MCP server that works locally and not in production, the engineers in these roles are the ones who get them moving again, and then make sure the next team never hits the same wall.

We are hiring Senior Software Engineers to own how the platform supports the teams building on it. This is a deeply technical role. The problems that reach you are the ones another team could not solve on their own, and they cross every boundary at once: identity, networking, cloud permissions, model APIs, MCP servers, agent runtimes, deployment. The job is not to close tickets. It is to understand why a team's agent environment is failing, fix it, and then remove the cause so the problem never recurs, through better diagnostics, better documentation, self-service tooling, or a change to the platform itself. Engineers in this role also ship features on the platform backlog.

Support the teams building agents on the platform Own the support queue: triage, resolve and escalate requests from teams across the firm, and see each one through to resolution Debug across the full path of an agent in production: identity and token lifecycle, gateway calls, MCP servers, agent runtimes, networking, secrets, deployment Reproduce what a team is seeing in their environment, find the real cause, and either fix it or get it fixed Coordinate during incidents: bring in application owners, keep stakeholders informed, and keep the engineers working the fix uninterrupted Engineer the support load down Consolidate the several channels requests reach us through today into one clear path, with the triage and escalation model to go with it Turn recurring problems into runbooks, diagnostics and self-service, so the next team never needs to ask Write the integration guides, reference implementations and starter templates that teams building agents and MCP servers actually use Hunt down the undocumented limits, misleading error messages and missing guardrails that generate tickets, and fix them at the source Help consuming applications move onto the gateway as the migration progresses Build the platform Ship features on the platform backlog alongside support work: gateway, agent tooling, identity patterns, observability, etc. Share production ownership with the rest of the team, including incident response and root cause analysis What we're looking for Required 5+ years building and operating production systems Strong debugging across distributed systems: you can trace a failure through identity, network, API and runtime boundaries and explain what happened Hands-on experience with at least one major public cloud, including IAM, networking and secrets management in production Hands-on experience building or operating an MCP server