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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 closely with marketing domain experts to understand their workflows and systems, turning their expertise into agents that go live and stay live. Your responsibilities span the full lifecycle, from rapid prototyping and validating ideas with SMEs to building integrations and skills for pilot programs, and hardening these into production-grade agents. You will also identify and translate missing requirements for underlying marketing systems, data plumbing, and AI tooling to the partner platform team. This role sits at the intersection of domain expertise and platform infrastructure, ensuring seamless collaboration. Success is measured by the volume and quality of marketing work performed by agents in production, demonstrating their trustworthiness and impact on global marketing operations.

Responsibilities

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 encountered during pilots into clear, prioritized requirements for the platform team, ensuring the platform layer evolves to meet real agent needs
Own reliability, observability, evaluation, and cost efficiency of the LLM-powered workflows, 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 agents, defining composition, boundaries, and escalation flows
Follow and help refine the pod's playbook for taking an agent from SME conversation to working pilot to deployed production agent
Share learnings through internal write-ups to sharpen team practices and onboarding
Stay current on agent engineering practices and apply useful techniques
Experiment and tackle ambiguous, complex problems within your area of ownership

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent work experience
Proficient in English, both written and verbal, sufficient for success in a remote and largely asynchronous work environment
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)
Hands-on experience with modern LLM APIs across providers — including prompt engineering, tool use / function calling, structured outputs, and context engineering
Experience with agent system components: multi-step reasoning, tool orchestration, memory, error recovery, and human-in-the-loop escalation paths
Experience with the challenges of agent engineering: hallucination grounding, tool reliability, silent failures, evaluating real-world behavior, cost and latency tradeoffs, prompt drift, and long-term functionality
Exposure to RAG systems — embeddings, vector stores, retrieval optimization, and grounding
Experience deploying LLM-powered services or agents to production cloud environments and understanding operational realities (auth, networking, secrets, observability, rollback, cost monitoring)
Ability to embed directly with non-technical domain experts, translate vague problem statements into shippable scope, and learn unfamiliar domains deeply
Pragmatic bias for shipping; ability to determine when a brittle workaround is appropriate versus when something needs to be built correctly the first time
Effective communication across technical levels — from explaining agent failure modes to non-technical SMEs, to discussing architectural tradeoffs with leads, to detailing protocol specifics with platform engineers
Strong analytical and interpersonal skills, with a proven ability to collaborate in dynamic, product-focused, distributed teams
Proactive approach to problem-solving and willingness to acquire new skills and knowledge
Comfort taking ownership of projects from start to finish and turning nebulous ideas into reality
Ability to make coworkers feel included in every interaction
Candidates must be authorized to work in the United States without sponsorship.

Skills

Modern LLM APIs
Prompt engineering
Tool use / function calling
Structured outputs
Context engineering
Agent system components
Multi-step reasoning
Tool orchestration
Memory
Error recovery
Human-in-the-loop escalation paths
RAG systems
Embeddings
Vector stores
Retrieval optimization
Production cloud environments
Auth
Networking
Secrets management
Observability
Rollback strategies
Cost monitoring
Enterprise API integration (CRMs, CMSes, DAMs, ad platforms, marketing automation tools, analytics)

Location

On-site – Chicago, IL
On-site – San Francisco, CA

Work Type

Remote
Asynchronous

Experience Level

Senior
3+ years of software engineering experience

Education Level

Bachelor's degree in Computer Science, Engineering, or a related field
Master's degree in Computer Science, Engineering, or a related field
Equivalent work experience

Salary/Compensations

160,000.00 – 180,000.00 USD per year

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

About the Company

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.
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.
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.

Equal Opportunity

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.