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JLL

Senior Software Engineer, AI Platform Enablement

Jalisco,MEX

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hirly's read of this role

Role family
Engineering
Seniority
Senior
Country
MX
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

About the team

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.

About the role

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.

What you'll do

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 or a production agent, and a solid understanding of how LLM applications are put together: model APIs, tool calling, agent frameworks, etc.

Experience supporting other engineering teams as the users of your work, with the patience and clarity that requires

A bias toward removing whole classes of problems rather than resolving them one at a time

Excellent English communication, written and spoken

Preferred

Identity and access depth: OAuth 2.0, OIDC, token exchange, service principals

Kubernetes and container-based delivery

Infrastructure as code

Observability tooling and production alerting

Prior experience in a developer support, platform enablement or SRE role

How we work: you should be comfortable with

A small team that moves quickly inside a very large organisation

Limited timezone overlap with some of your teammates

A platform with production users while it is still being built underneath them

Being interrupted by other teams and by production, and still shipping

What we offer

A front row seat to how every team at JLL builds with AI, and a hand in whether they succeed

Real technical breadth: gateway, agent runtimes, MCP, identity, cloud infrastructure

A role that grows into platform engineering by design: the support work you remove becomes time you spend building

A team spanning the Americas, EMEA and APAC

Location:

On-site –Jalisco,MEX

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement .

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Jones Lang LaSalle ("JLL") está comprometida a trabajar con personas con discapacidades y proporcionarles accesibilidad. Si necesita un ajuste razonable para cualquier parte del proceso de empleo – incluyendo la candidatura en línea y/o el proceso general de selección – puede enviarnos un correo electrónico a HRSCLeaves@jll.com . Este correo electrónico es solo para solicitar un ajuste razonable. Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página Contáctanos > Quiero trabajar para JLL.

Original posting on JLL's site ↗

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