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 Senior 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 solid 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 factually correct actions across a complex marketing stack. Success is measured by the volume and quality of marketing work that agents are actually doing in production — not by demos, not by POCs, but by agents that marketers trust to do the job. This is a fantastic opportunity to build the agentic layer of one of the world s largest commercial real estate platforms from the ground up, and to see your work change how marketing operates at global scale. Who You Are We re optimizing for three things ahead of tool-specific experience: solid technical fundamentals, a pragmatic problem-solving disposition, and strong cross-audience communication. The agent tooling landscape changes every few months — what we can t easily teach is how someone thinks, ships, and explains under uncertainty. If you have those three, we ll happily back you while you skill up on whichever runtime, framework, or model provider this quarter favors. You have a Bachelor s or Master s degree in Computer Science, Engineering, or a related field, or equivalent work experience You are proficient in English, both written and verbal, sufficient for success in a remote and largely asynchronous work environment You have 3 years of software engineering experience working in production systems, including meaningful time integrating against enterprise APIs (CRMs, CMSes, DAMs, ad platforms, marketing automation tools, analytics) You have hands-on experience with modern LLM APIs across providers — including prompt engineering, tool use / function calling, structured outputs, and context engineering — and you ve worked with enough of them to know that the underlying patterns transfer even as the specific APIs evolve You have experience with agent system components: multi-step reasoning, tool orchestration, memory, error recovery, and human-in-the-loop escalation paths You ve worked through some of the hard parts of agent engineering firsthand — hallucination grounding, tool reliability and silent failures, evals that actually predict real-world behavior (and the gap when they don t), cost and latency tradeoffs, prompt drift, and the difference between works in a demo and still works on day 30. You can talk concretely about what you ve tried, what s broken on you, and what you ve learned You have exposure to RAG systems — embeddings, vector stores, retrieval optimization, and grounding — and a developing intuition for when retrieval is the right answer vs. when a tool call, fine-tune, or schema change is the better lever You ve deployed LLM-powered services or agents to production cloud environments and understand the operational reality — auth, networking, secrets, observability, rollback, cost monitoring — beyond the demo-day setup. The specific runtime matters less to us than the fact that you ve operated something live and learned from it You re energized by embedding directly with non-technical domain experts, can translate vague problem statements into shippable scope, and have the patience to learn an unfamiliar domain (marketing, in this case) deeply enough to anticipate where agents will fail You have a pragmatic bias for shipping — you can tell when a brittle workaround is the right call to unblock a pilot and when something deserves to be built right the first time You communicate effectively across technical levels — from explaining agent failure modes to a non-technical marketing SME, to discussing architectural tradeoffs with your lead and stakeholders, to going deep on protocol details with platform engineers, often within the same day You have strong analytical and interpersonal skills, with a proven ability to collaborate in dynamic, product-focused, distributed teams You embrace a proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results You re comfortable taking ownership of projects from start to finish and enjoy turning nebulous ideas into reality You make your coworkers feel included in every interaction What You ll Do Embed with marketing SMEs across campaigns, property marketing, content production, social, ABM, and performance intelligence to design and ship agents that do real work in their day-to-day Build, deploy, and operate production marketing AI agents that reason over regional context, brand guidelines, and intent data — and invoke tools to draft content, configure campaigns, monitor performance, and recommend optimizations Build and contribute reusable components to the Marketing Domain Skills Library — composable LLM workflows (drafting, scoring, classification, brand-voice tuning) extracted from live agent work as primitives other agents can call Build integrations against marketing systems (CMS, DAM, CRM, marketing automation, ad platforms, analytics) — directly when needed to unblock a pilot, and through Marketing MCP servers built by the platform team once those exist Translate integration and capability gaps you hit during pilots into clear, prioritized requirements for the platform team, so the platform layer evolves to meet real agent needs rather than speculative ones Own reliability, observability, evaluation, and cost efficiency of the LLM-powered workflows you build — including brand-voice checks, factual grounding against property and client data, regression suites, and offline benchmarks wired into CI/CD Contribute to multi-agent orchestration patterns for the agents you work on — where to compose vs. where to keep boundaries, and how escalations and handoffs flow to and from adjacent agents (Campaigns, Social, ABM, Content, Property, Performance Intelligence) Follow and help refine the pod s playbook for taking an agent from SME conversation to working pilot to deployed prod agent Share what you learn through internal write-ups, helping sharpen the team s practices and onboarding Stay current on agent engineering practices and bring useful techniques back into your own work Bring a willingness to experiment and tackle ambiguous, complex problems within your area of ownership This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 160,000.00 – 180,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site –Chicago, IL, San Francisco, CA If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 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 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. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . 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. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

Requirements

Must-haves

JLL empowers you to shape a brighter way .
You have a Bachelor s or Master s degree in Computer Science, Engineering, or a related field, or equivalent work experience
You are proficient in English, both written and verbal, sufficient for success in a remote and largely asynchronous work environment
You have 3 years of software engineering experience working in production systems, including meaningful time integrating against enterprise APIs (CRMs, CMSes, DAMs, ad platforms, marketing automation tools, analytics)
You have experience with agent system components: multi-step reasoning, tool orchestration, memory, error recovery, and human-in-the-loop escalation paths
You have a pragmatic bias for shipping — you can tell when a brittle workaround is the right call to unblock a pilot and when something deserves to be built right the first time
You have strong analytical and interpersonal skills, with a proven ability to collaborate in dynamic, product-focused, distributed teams
You embrace a proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results
You re comfortable taking ownership of projects from start to finish and enjoy turning nebulous ideas into reality
You make your coworkers feel included in every interaction
What You ll Do
Embed with marketing SMEs across campaigns, property marketing, content production, social, ABM, and performance intelligence to design and ship agents that do real work in their day-to-day
Translate integration and capability gaps you hit during pilots into clear, prioritized requirements for the platform team, so the platform layer evolves to meet real agent needs rather than speculative ones
Follow and help refine the pod s playbook for taking an agent from SME conversation to working pilot to deployed prod agent
Share what you learn through internal write-ups, helping sharpen the team s practices and onboarding
Stay current on agent engineering practices and bring useful techniques back into your own work
Bring a willingness to experiment and tackle ambiguous, complex problems within your area of ownership
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
160,000.00 – 180,000.00 USD per year
On-site –Chicago, IL, San Francisco, CA
If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
Early access to earned wages through Daily Pay
JLL Privacy Notice

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness