JLL
Real Estate
SoftwareEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Software Engineer at JLL. Skills: Full-stack development, AI tools, Software engineering. Maintain customer-facing websites. Improve customer-facing websites”
What You'll Achieve.
Growth as full-stack engineer; Quality of code; Reliability; Ability to communicate learning; Engagement with exploring AI
Industry & Context.
Debugging; Systematic debugging; Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent bootcamp/self-taught experience with a portfolio, Proficient in English, written and verbal, 0-2 years professional software engineering experience, or recent graduate with solid foundational knowledge, Hands-on experience writing code in C# or Java, Understand basics of object-oriented programming, Debug code in multiple environments, Written code that others have read and reviewed, Know basics of relational databases and can write simple SQL queries, Worked with Git and understand basics of version control, Can debug code systematically, Genuinely curious about how things work, Explain what you've learned in writing, Reliable and follow through, Humble about what you don't know, Make an effort to include others
Nice to Have
Some experience with React and TypeScript or eager to learn them quickly, Know basics of HTML, CSS, and JavaScript, Interested in and curious about AI tools, Open to exploring AI-centric solutions, Experience with databases beyond basic SQL, Exposure to state management in React, Exposure to CSS frameworks or CSS-in-JS libraries, Exposure to backend frameworks or libraries, Exposure to cloud platforms or containerization, Interest in marketing technology, content management systems, or enterprise software, Experimentation with AI tools or interest in learning about LLMs, Personal projects or experiments using AI APIs or tools, Understanding of or curiosity about agent systems, prompt engineering, or generative AI, Open source contributions or a GitHub profile
What You'll Do.
Maintain customer-facing websites
Improve customer-facing websites
Learn about infrastructure challenges
Learn about integration challenges
Experiment with LLM APIs
Understand how agents work
Think about where AI can solve problems
Work with senior engineers
Understand requirements
Write frontend components
Write backend services
Take on more responsibility
Build small proof-of-concepts
Learn how AI capabilities can be integrated
Work on simple feature additions
Work on documentation improvements
Get hands-on with tools and technologies
Learn how customer-facing applications work
How You'll Work.
Team & Collaboration
Work closely with senior engineers; Cross-functional teams
Communication Scope
Written documentation; Verbal communication
Full 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 Software Engineer I on the Martech Intelligence Pod, you'll be starting your engineering career working on real customer-facing applications across both frontend and backend, learning the foundations of professional software development in a supportive environment. You'll also have the opportunity to explore and learn about AI tools and AI-centric solutions that are becoming central to how we build products. Your primary focus will be maintaining and improving the customer-facing websites we host while gradually learning about infrastructure and integration challenges the Intelligence Pod tackles. Importantly, you'll also have dedicated time to explore AI tools, experiment with LLM APIs, understand how agents work, and think about where AI can solve problems better than traditional approaches. This is a structured onboarding role: you'll work closely with senior engineers who will mentor you through the full development lifecycle — from understanding requirements, to writing frontend components and backend services, to testing, debugging, and deploying to production. You'll start with well-scoped, low-risk tasks on both frontend and backend, and gradually take on more responsibility as you gain confidence and expertise. You'll also spend time experimenting with AI tools, building small proof-of-concepts, and learning how modern AI capabilities can be integrated into applications. The rol
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