JLL AI Engineer Hiring 2026
JLL AI Engineer Hiring 2026
JLL is hiring candidates for the AI Engineer – P1 position. This is a full-time, on-site opportunity suitable for candidates with 0–2 years of relevant experience, including candidates with internship and project experience.
The selected candidate will join the JLL Technologies Centre of Expertise and contribute to building Generative AI capabilities using real estate data. The role focuses on Python, Azure OpenAI, LangChain or Llama Index, RAG pipelines, vector databases, prompt engineering, and AI application development.
Quick Job Snapshot
| Company Name | JLL |
|---|---|
| Role | AI Engineer – P1 |
| Qualification | Bachelor’s / Master’s Degree in Computer Science, AI, Data Science, Engineering or Related Field |
| Eligible Batch | 2023, 2024, 2025 & 2026 |
| Experience | Freshers |
| Salary | As per Company Standards |
| Job Type | Full Time |
| Work Mode | On-Site |
About the JLL AI Engineer Role
JLL is looking for an AI Engineer to support the development of GenAI solutions using the company’s real estate data. The selected candidate will work on LLM-powered applications and help build solutions that deliver measurable business value.
The role involves RAG pipeline development, Azure OpenAI integration, prompt engineering, vector search, AI application development, API development, model evaluation, and deployment support.
Key Responsibilities
- Assist in designing and developing Retrieval-Augmented Generation pipelines.
- Use LangChain or Llama Index for RAG development.
- Integrate Azure OpenAI APIs into applications and data workflows.
- Work with Azure Cognitive Services APIs.
- Build and experiment with prompt templates and prompt chains.
- Create few-shot examples to improve LLM output quality.
- Develop and maintain vector store integrations.
- Work with Azure AI Search, FAISS, and Chroma DB.
- Support intelligent Q&A systems and summarization tools.
- Contribute to data extraction pipelines.
- Assist in fine-tuning and evaluating language and embedding models.
- Write clean and tested Python code.
- Develop APIs using FastAPI or Flask.
- Support AI model and service deployment on Azure.
- Participate in code reviews and Agile sprint activities.
- Document AI solutions, experiments, prompt strategies, and evaluation results.
- Monitor AI solutions for performance, accuracy, and drift.
Eligibility Criteria
- 0–2 years of relevant experience.
- Internship and project experience will also be considered.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- Strong computer science fundamentals.
- Understanding of the Software Development Life Cycle.
- Strong written and verbal communication skills.
- Ability to learn and adapt to new GenAI technologies.
- Analytical and detail-oriented approach.
Python and AI Development Skills
Python is a key technical skill for this role. Candidates should be familiar with using Python for AI and machine learning engineering, scripting, API development, data processing, and integration tasks.
Candidates should also understand clean coding practices, testing, debugging, and collaborative development workflows using Git.
RAG and LLM Development
The role requires knowledge of Retrieval-Augmented Generation architecture, including chunking, embeddings, vector retrieval, and reranking. Candidates with project experience using LangChain or Llama Index can highlight these projects in their resume.
Azure OpenAI and Vector Stores
The selected candidate will work with Azure OpenAI and Azure Cognitive Services. Exposure to Azure AI Search, FAISS, Chroma DB, or similar vector storage and semantic search technologies is relevant for this position.
Prompt Engineering Skills
Candidates should understand prompt engineering concepts such as zero-shot prompting, few-shot prompting, system prompting, and structured prompt chains. The role involves testing different prompt strategies to improve AI response quality, accuracy, and relevance.
API Development and Deployment
The role involves developing AI modules and APIs using FastAPI or Flask. Candidates may also support the deployment of AI models and services in Azure cloud environments.
Machine Learning Fundamentals
Knowledge of machine learning fundamentals, including model training, evaluation, selection, and Scikit-learn, is relevant. Candidates should be able to evaluate AI outputs critically and identify quality or accuracy issues.
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Technical Skills to Highlight in Your Resume
- Python.
- Generative AI.
- Azure OpenAI.
- Azure Cognitive Services.
- LangChain.
- Llama Index.
- RAG Architecture.
- Prompt Engineering.
- Azure AI Search.
- FAISS.
- Chroma DB.
- Scikit-learn.
- FastAPI.
- Flask.
- Git.
- Model Evaluation.
Why Consider This Opportunity?
The JLL AI Engineer opportunity is suitable for fresh graduates and early-career candidates interested in Generative AI, LLM applications, RAG systems, Python development, prompt engineering, and cloud-based AI solutions.
Candidates with strong computer science fundamentals, relevant AI projects or internships, and hands-on exposure to Python, LangChain, RAG, Azure OpenAI, or vector databases can consider applying.
📘 Recommended Courses
🎯 Interview Questions and Preparation
🚀 Related Jobs & Opportunities
Candidates looking for similar AI Engineer, Generative AI, Machine Learning, Python, and fresher technology opportunities can explore the latest jobs and internships below:
- Cyntexa Associate Software Developer Hiring 2026 | Freshers | ₹5 LPA
- MountBlue Software Development Engineer Hiring 2026 | Entry-Level Job
How to Apply for JLL AI Engineer Hiring 2026
Interested candidates can apply through the official JLL careers portal. Before applying, prepare an updated resume highlighting relevant AI projects, internships, Python, RAG, LangChain or Llama Index, Azure OpenAI, prompt engineering, vector databases, and API development skills.
- Click the Apply Now button below.
- Open the official JLL careers application page.
- Review the complete job description and technical requirements.
- Sign in or create a candidate profile if required.
- Enter accurate personal, educational, and experience details.
- Highlight relevant AI, GenAI, Python, RAG, and LLM projects.
- Upload your updated resume.
- Review the application details and submit your application.
Frequently Asked Questions (FAQs)
1. Are freshers eligible for the JLL AI Engineer role?
The role requires 0–2 years of relevant experience, and the job description specifically states that internship and project experience will be considered.
2. What are the main technical skills required for the JLL AI Engineer role?
Key technical skills include Python, Azure OpenAI, Azure Cognitive Services, LangChain or Llama Index, RAG architecture, vector databases, prompt engineering, FastAPI or Flask, machine learning fundamentals, and Git.
3. What qualification is required for this opportunity?
Candidates should have a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Conclusion
The JLL AI Engineer opportunity is suitable for candidates interested in Generative AI, LLM applications, RAG pipelines, prompt engineering, Python development, and Azure-based AI solutions.
Candidates with 0–2 years of experience or relevant AI internship and project experience can apply through the official JLL careers portal.