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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 youve got deep experience in commercial real estate skilled trades or technology or youre looking to apply your relevant experience to a new industry join our team as we help shape a brighter way forward.

Staff Engineer (P4) Research Technology & AI Agents

Location: New York City (On-site)

About JLL and JLL Technologies

JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate creating rewarding opportunities and amazing spaces where people can achieve their doing so we will build a better tomorrow for our clients our people and our communities.

JLL Technologies is a specialized group within JLL. At JLL Technologies our mission is to bring technological innovation to commercial real estate. We deliver unparalleled digital advisory implementation and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the worlds buildings while enhancing the productivity and happiness of those that occupy them.

Role Overview

As a Senior Engineer on the Research Technology & AI Agents team you will be a key technical contributor building AI-powered platforms and agents that automate manual research workflows democratize insights and enable advanced analytics at global scale. This is not a traditional software engineering role you will leverage AI coding assistants enterprise software agents and LLM-powered development tools as primary instruments for designing building testing and iterating on production systems at speed.

You will be expected to deliver high-quality reliable and scalable outcomes at speed by orchestrating AI tools and human judgment effectively. This role is intentionally co-located in NYC with Product and Research to enable rapid daily iteration between product vision technical execution and real researcher feedback critical for effective AI agent development and deployment.

Key Responsibilities

AI-Augmented Development & Delivery

• Leverage AI coding assistants and enterprise software agents to rapidly develop test and iterate on production-quality code

• Own end-to-end delivery of features and systems from requirements through deployment and monitoring using AI tools to accelerate every phase of the development lifecycle

• Apply strong engineering judgment to review validate and refine AI-generated code for correctness security performance and maintainability

• Design and refine effective prompts workflows and agent configurations to maximize the quality and reliability of AI-assisted outputs

• Continuously evaluate and adopt emerging AI development tools and agent platforms available within the enterprise

AI Agents & LLM Integration

• Build and iterate on AI agents that automate research processes and assist with insight generation

• Implement LLM integrations agent orchestration evaluation harnesses and monitoring pipelines

• Experiment rapidly with new AI/ML techniques and translate prototypes into production-grade systems

• Define and enforce quality gates automated testing evaluation benchmarks and guardrails for agent-driven outputs

Platform & Infrastructure

• Build and maintain cloud-native microservices and scalable APIs consumed by internal products

• Develop internal tools libraries and reusable agent patterns that accelerate team velocity

• Implement and improve CI/CD pipelines infrastructure-as-code and observability tooling

• Collaborate with data platform security and architecture teams to align with enterprise standards architecture patterns and Critical Design Reviews (CDRs)

Collaboration & Communication

• Partner directly with Product and Research users to understand workflows and translate requirements into technical solutions

• Participate actively in agile ceremonies code reviews and knowledge-sharing within the team

• Mentor junior engineers on effective AI-augmented development practices prompt design and agent usage patterns

• Communicate technical trade-offs and progress clearly to engineering leadership and cross-functional partners

Qualifications

Required

• 8 years of professional software engineering experience

• Demonstrated proficiency using AI coding tools and agents to develop test and ship production software

• Strong ability to review validate and debug AI-generated code you are the quality bar not the AI tool

• Solid understanding of backend systems microservice architectures and distributed systems in Python Java Go or C#

• Experience designing and maintaining RESTful or gRPC APIs

• Solid experience with a major cloud platform (AWS Azure or GCP)

• Experience with relational databases (PostgreSQL MySQL) and NoSQL databases (MongoDB DynamoDB)

• Working knowledge of CI/CD infrastructure-as-code and containerization (Terraform Docker Kubernetes)

• Strong engineering judgment knowing when to trust AI output and when to intervene is critical

• Comfort working closely with Product Managers and business stakeholders in a fast iteration cycle

Preferred

• Experience building or deploying LLM-enabled systems AI agents or agent orchestration frameworks

• Experience designing evaluation and testing frameworks for AI/agent-generated outputs

• Familiarity with enterprise AI/agent platforms and tool ecosystems

• Experience with data engineering tools and pipelines (e.g. Spark Airflow dbt)

• Front-end experience with React Angular or for internal tools and dashboards

• Experience in Commercial Real Estate Research Financial Services or other data-intensive domains

• Experience modernizing legacy systems or migrating platforms to cloud-native architectures

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Estimated compensation for this position:

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:

If this job description resonates with you we encourage you to apply even if you dont meet all the requirements. Were 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 yourepursuing.

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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 . 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.

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Accepting applications on an ongoing basis until candidate identified.