Staff Software Engineer

Job Overview 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. Staff Software Engineer, MarTech Agent Pod - JLL What this job involves As a Staff Software Engineer on the MarTech Engineering Team, you'll serve as a forward-deployed engineer embedded within JLL's marketing organization, building production AI agents that solve real-world challenges across campaigns, content, social media, account-based marketing (ABM), and performance analytics. Working directly alongside marketing subject matter experts (SMEs), you'll immerse yourself in their workflows, learn their systems, and transform their expertise into reliable, production-grade AI agents that deliver measurable business value. Your work will span the complete agent lifecycle—from rapid prototyping and validation with SMEs, to building the integrations and capabilities that enable working pilots, to hardening those pilots into scalable, production-ready solutions that marketers trust and use daily. This role sits at the critical intersection of domain expertise and platform infrastructure, requiring deep technical judgment about when to build versus wait, when to abstract solutions into reusable components, and how to ensure agent outputs are safe, brand-aligned, and factually accurate across JLL's complex marketing technology stack. Success is measured not by demos or proof-of-concepts, but by the volume and quality of marketing work that agents are actually performing in production at one of the world's largest commercial real estate platforms. Day-to-Day Responsibilities Collaborate directly with marketing SMEs across campaigns, property marketing, content production, social media, ABM, and performance intelligence to design, prototype, and deploy AI agents that automate real marketing workflows Build, deploy, and operate production marketing AI agents that reason over regional context, brand guidelines, and intent data to draft content, configure campaigns, monitor performance, and recommend optimizations Design and expand the Marketing Domain Skills Library by extracting composable LLM workflows (drafting, scoring, classification, brand-voice tuning) from live agent implementations into reusable primitives Develop integrations with marketing systems including CMS, DAM, CRM, marketing automation platforms, ad platforms, and analytics tools—building direct integrations to unblock pilots and coordinating with platform teams for long-term solutions Own reliability, observability, evaluation, and cost efficiency of LLM-powered workflows in production, including implementing brand-voice checks, factual grounding mechanisms, regression test suites, and offline benchmarks integrated into CI/CD pipelines Design multi-agent orchestration patterns that define how specialized agents (Campaigns, Social, ABM, Content, Property, Performance Intelligence) coordinate, where to compose versus maintain boundaries, and how escalations and handoffs flow Represent MarTech Engineering to JLL leadership, customers, and the broader engineering community through internal documentation, engineering blog posts, conference presentations, and thought leadership on production AI agent systems Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience 5+ years of software engineering experience building and maintaining production systems, with significant experience integrating against enterprise APIs (CRMs, CMSes, DAMs, ad platforms, marketing automation tools, analytics platforms) Hands‑on experience with modern LLM APIs across multiple providers, including prompt engineering, tool use/function calling, structured outputs, and context engineering, with demonstrated understanding of transferable patterns across evolving APIs Proven experience designing and implementing agent systems including multi-step reasoning, tool orchestration, memory management, error recovery, and human-in-the-loop escalation paths Direct experience addressing production agent engineering challenges such as hallucination grounding, tool reliability and silent failures, evaluation design, cost and latency optimization, prompt drift, and the operational gap between demos and sustained production performance Experience building RAG (Retrieval-Augmented Generation) systems including embeddings, vector stores, and retrieval optimization, with strong judgment about when retrieval versus alternative approaches (tool calls, fine-tuning, schema changes) is appropriate Demonstrated ability to deploy LLM-powered services or agents to production cloud environments with understanding of authentication, networking, secrets management, observability, rollback procedures, and cost monitoring Preferred Qualifications Experience working directly with non-technical domain experts to translate ambiguous requirements into shippable technical scope Track record of making pragmatic build‑versus‑wait decisions and knowing when to implement temporary workarounds versus building robust long‑term solutions Exceptional communication skills across technical levels—from explaining technical concepts to non-technical stakeholders, to presenting architectural tradeoffs to leadership, to deep technical discussions with engineering peers Strong analytical and interpersonal skills with proven ability to thrive in dynamic, product-focused, distributed team environments Proactive problem‑solving approach with demonstrated willingness to acquire new skills and technologies as needed Experience taking full ownership of projects from conception through production deployment Contributions to engineering communities through blog posts, conference talks, open-source contributions, or technical publications 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 Location: Remote Salary: 220,000.00 - 270,000.00 USD per year. JLL is an Equal Opportunity Employer committed to diversity and inclusion. We support each other's wellbeing and champion inclusivity and belonging across teams. We will not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. #J-18808-Ljbffr JLL