AI Engineer

JLL supports the Whole You, personally and professionally.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

AI Engineer – P1

JLL Technologies Centre of Expertise

What this job involves:

#JLLTechAmbitions

About the role

JLL, an international real estate management company, is seeking an AI Engineer to join our Work Dynamics Data & Insight COE Team. We are seeking candidates that are self-starters who can work in a diverse and fast-paced environment. We are building a GenAI capability on JLL’s real estate data and are looking for a candidate with hands-on experience in Python, LangChain/Llama Index, Azure OpenAI, RAG pipeline development, and prompt engineering to help design and deploy LLM-powered solutions that deliver measurable business value.

Responsibilities

Assist in the design and development of Retrieval-Augmented Generation (RAG) pipelines using LangChain or Llama Index to ground LLM responses in JLL’s proprietary data.

Integrate Azure OpenAI and Azure Cognitive Services APIs into data and application workflows under senior engineer guidance.

Build and experiment with prompt templates, prompt chains, and few-shot examples to improve LLM accuracy, relevance, and output quality.

Develop and maintain vector store integrations (Azure AI Search, FAISS, Chroma DB) for semantic search and document retrieval.

Support the development of AI-powered features including intelligent Q&A systems, summarization tools, and data extraction pipelines on JLL data.

Assist in fine-tuning and evaluating pre-trained language models and embedding models for domain-specific real estate use cases.

Write clean, well-tested Python code for AI modules, APIs (FastAPI/Flask), and integration components.

Support deployment of AI models and services to Azure cloud environments.

Participate in code reviews, technical discussions, and sprint ceremonies in an Agile delivery environment.

Document AI solutions, experiment results, prompt strategies, and model evaluation findings clearly for technical and non-technical audiences.

Monitor deployed AI solutions for performance, accuracy, drift; flag issues and contribute to continuous improvement.

Stay current with rapidly evolving GenAI frameworks, LLM capabilities, and best practices; apply learnings to active projects.

Sounds like you? To apply you need to be:

Experience & Education

0 to 2 years of relevant experience is desired (internship and project experience considered).

Having a Bachelors/master’s degree in computer science, Artificial Intelligence, Data Science, Engineering, or a related field from a reputed University

Strong computer science fundamentals.

Solid understanding of Software Development Life Cycle (SDLC) includes requirements analysis, design, development, testing, and deployment.

Strong written and verbal communication skills — able to document AI experiments clearly, explain model behavior to non-technical stakeholders, and collaborate effectively across teams.

Self-motivated with a strong willingness to learn and rapidly adapt to the fast-evolving GenAI landscape.

Analytical and detail-oriented — able to evaluate model outputs critically and identify quality or accuracy issues.

Technical Skills & Competencies

Python — AI/ML engineering, scripting, API development

Azure OpenAI / Azure Cognitive Services

LangChain or Llama Index — RAG pipelines, prompt chains

RAG Architecture — Chunking, Embedding, Vector Retrieval, Reranking

Vector Stores — Azure AI Search, FAISS, Chroma DB

Prompt Engineering — Zero-shot, Few-shot, Chain-of-Thought, System Prompting

ML Fundamentals — Scikit-learn, Model Training, Evaluation, Selection

API Development — FastAPI / Flask

Version Control — Git, collaborative development workflows

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realize your full potential in a fully entrepreneurial and inclusive work environment. If you harbor passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. It’s no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2021 World’s Most Ethical Companies for the 14th consecutive year.

Apply today!

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. 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.

About JLL –

We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.

Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.

Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.