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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 to solve real campaign, content, social, ABM, and performance problems. You will work closely with marketing domain experts, learning their workflows and systems to turn their expertise into live agents. Your responsibilities span the full lifecycle, from rapid prototyping and validating ideas with SMEs to building integrations for pilot programs and hardening them into production-grade agents. You will also identify and translate gaps in existing systems or data into requirements for the platform team. This role requires deep technical judgment regarding build vs. wait decisions, abstraction of solutions into reusable skills, and ensuring agent outputs are safe, brand-aligned, and factually correct. Success is measured by the volume and quality of work performed by agents in production.

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.
Build, deploy, and operate production marketing AI agents that reason over regional context, brand guidelines, and intent data, invoking tools to draft content, configure campaigns, monitor performance, and recommend optimizations.
Design and grow the Marketing Domain Skills Library, creating composable LLM workflows as reusable primitives.
Build integrations against marketing systems, directly when needed to unblock a pilot, and through Marketing MCP servers.
Translate integration and capability gaps into clear, prioritized requirements for the platform team.
Own reliability, observability, evaluation, and cost efficiency of LLM-powered workflows in production.
Design multi-agent orchestration patterns for coordination, composition, and escalation.
Set the bar for the agent pod by defining the playbook for agent development and raising technical quality.
Represent MarTech Engineering externally to leadership, customers, and the engineering community.
Publish learnings through internal write-ups, engineering blog posts, and conference talks.
Stay at the frontier of agent engineering and bring best ideas back to the team.
Drive innovation with a willingness to experiment and confront complex problems.

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, for remote and asynchronous work.
5+ years of software engineering experience in production systems, including significant time integrating against enterprise APIs.
Hands-on experience with modern LLM APIs across providers, including prompt engineering, tool use, structured outputs, and context engineering.
Experience designing agent systems: multi-step reasoning, tool orchestration, memory, error recovery, and human-in-the-loop escalation paths.
Experience with the hard parts of agent engineering: hallucination grounding, tool reliability, evaluation, cost/latency tradeoffs, prompt drift, and production readiness.
Experience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding.
Experience deploying LLM-powered services or agents to production cloud environments, understanding operational realities.
Energized by embedding directly with non-technical domain experts, translating vague problem statements into shippable scope, and learning unfamiliar domains.
Pragmatic bias for shipping, knowing when a brittle workaround is appropriate.
Ability to translate fluently between technical levels.
Strong analytical and interpersonal skills, with a proven ability to thrive and collaborate in dynamic, product-focused, distributed teams.
Proactive approach to problem-solving and willingness to acquire new skills.
Confidence in taking ownership of projects from start to finish.
Ability to make coworkers feel included in every interaction.
Candidates must be authorized to work in the United States without sponsorship.

Skills

Prompt engineering
Tool use / function calling
Structured outputs
Context engineering
Multi-step reasoning
Tool orchestration
Memory
Error recovery
Human-in-the-loop escalation
Hallucination grounding
Tool reliability
Evaluation
Cost and latency tradeoffs
Prompt drift
RAG systems
Embeddings
Vector stores
Retrieval optimization
Cloud environments
Auth
Networking
Secrets management
Observability
Rollback
Cost monitoring
Analytical skills
Interpersonal skills
Problem-solving

Location

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

Work Type

On-site
Remote
Hybrid

Experience Level

5+ years of software engineering experience

Education Level

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

Salary/Compensations

180,000.00 – 190,000.00 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.
JLL harnesses the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities.
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.