Staff Software Engineer, AI Platform

Job not on LinkedIn

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $160k - $260k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

🤝 B2B

💼 Consulting

Real Estate • B2B • Consulting

Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.

📋 Description

• Own significant parts of the AI platform end to end, from API shape through behavior under load • Ensure reliability and performance in production for the AI gateway • Design provider abstraction, model routing, failover, and configuration-based provider switching • Make the agent surface framework- and deployment-location agnostic • Build evaluation and benchmarking capabilities largely from scratch • Design enforceable guardrails for safe production deployment of agents • Own inference cost and latency, including spend attribution and routing decisions • Keep model onboarding routine as the model landscape changes • Make the compliant path the fast path for architecture, security, and responsible-AI review • Solve difficult integration problems for other engineering teams • Improve observability ahead of scale • Mentor across a distributed team and produce durable designs and documentation • Set technical direction and choose platform abstractions and scope

🎯 Requirements

• 8+ years building and operating production systems • Direct experience shipping agentic systems to production, including agentic patterns, retrieval, tool calling, inference cost and latency • Hands-on experience with more than one model provider, including dealing with provider differences in practice • Experience with evaluation, observability or guardrail tooling for agentic systems • Strong platform engineering track record on systems where other engineering teams were users • Hands-on depth in at least one major public cloud, including running and debugging production workloads • Experience designing APIs and abstractions that others build against and that must remain stable • Demonstrable production ownership: on-call, incident response, and root cause analysis • Track record of pushing work through a large organisation, navigating process and unblocking decisions • Excellent English communication, written and spoken • Must be authorized to work in the United States without sponsorship • Preferred: internal developer platform or shared multi-tenant service experience • Preferred: Kubernetes and container-based delivery • Preferred: infrastructure as code • Preferred: enterprise security, data privacy or responsible-AI review processes

🏖️ Benefits

• 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