Jll
Real Estate
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at Jll. Skills: Agent systems, LLM, RAG. Build production AI agents. Solve campaign problems”
What You'll Achieve.
Agents doing work in production; Marketers trust agents
Industry & Context.
Pragmatic problem-solving; Technical judgment; Root cause analysis
What They're Looking For.
Must Have
5+ years of software engineering experience, Proficient in English, Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent work experience
Nice to Have
Experience with LLM APIs, Experience designing agent systems, Experience building RAG systems, Deployed LLM-powered services or agents to production cloud environments
What You'll Do.
Build production AI agents
Solve campaign problems
Solve content problems
Solve social problems
Solve performance problems
Work with marketing SMEs
Learn marketing systems
Turn expertise into agents
Harden pilots into production-grade agents
Build necessary skills
Build pragmatic workarounds
Translate gaps into requirements
Ensure agent outputs translate into actions
How You'll Work.
Team & Collaboration
Embedded with marketing organization; Shoulder-to-shoulder with SMEs; Distributed teams
Communication Scope
Cross-audience communication; Translate between technical levels
Process & Methodology
Agile
Full Job Description
**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 Role** As a Staff Software Engineer on the MarTech Engineering Team, you'll be a forward deployed engineer embedded in the marketing organization, building production AI agents that solve real campaign, content, social, ABM, and performance problems. You'll work shoulder-to-shoulder with marketing domain experts (SMEs) — sitting in their workflows, learning their systems, and turning their expertise into agents that go live and stay live. Your remit spans the full lifecycle: rapid prototyping with SMEs to validate ideas, building the integrations and skills needed to ship a working pilot, and hardening pilots into production-grade agents that operate reliably at scale. When something is missing — a CRM that doesn't expose what you need, a data source not yet in the warehouse, a guardrail that doesn't exist — you'll either build a pragmatic workaround to unblock the pilot or translate the gap into a clear, prioritized requirement for our partner platform team — the engineers who own the underlying marketing systems, data plumbing, and AI-native tooling — to address. You sit at the seam between domain expertise and platform infrastructure, and your job is to make sure neither side waits on the other. The role demands deep technical judgment: when to build vs. wait, when to abstract a one-off solution into a reusable skill, and how to ensure agent outputs translate into safe, brand-aligned, and fac
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