AI Engineer

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 peopleand empowering them tothrive 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.

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 JLLs 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 JLLs 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/masters 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. Its no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2021 Worlds Most Ethical Companies for the 14th consecutive year.

Apply today!

Location:

Scheduled Weekly Hours:

If this job description resonates with you we encourage you to apply even if you dont meet all of the requirements. Were interested in getting to know you and what you bring to the table!

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.