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.

What this job involves: JLL REMS (Real Estate Management Services) is building next-generation AI-powered solutions to transform how our clients interact with and derive insights from property management data. We are seeking a talented Staff Software Engineer who combines deep AI expertise with full-stack development capabilities to architect, build, and lead the development of features for one of our flagship Commercial Real Estate (CRE) products.

As a Staff Software Engineer, you will design, develop, and deploy end-to-end GenAI solutions that enable users to retrieve knowledge, analyse information through intuitive interfaces. You will be responsible for building intelligent backend systems that translate natural language into actionable queries, as well as creating user-facing interfaces that deliver AI-powered insights. You will be mentoring junior and mid-level engineers, driving architectural decisions, establishing technical standards, and ensure code quality through comprehensive automated testing strategies.

Key ResponsibilitiesCollaboration & Delivery:
Collaborate with product managers, cross-functional teams, and business stakeholders, to gather requirements and define project scope
Translate business requirements into technical specifications and architectural designs
Lead the design and implementation of complex features across the full stack and contribute to strategic planning
Mentor and provide technical guidance to junior and mid-level developers in integrating and utilizing AI-powered solutions effectively
Conduct code reviews and address bugs, performance issues, and technical debt
Work effectively in an Agile/Scrum environment to ensure timely and successful delivery
Drive architectural decisions and establish technical standards for both front end and back-end systems
Lead refactoring initiatives to improve system architecture and reduce technical debt
Lead troubleshooting efforts for complex issues across the entire technology stack
Participate in on-call rotation and lead incident response when needed

AI development:
Research and develop state-of-the-art GenAI-based solutions for property management applications
Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs to efficiently utilize property management data from data warehouses and semantic indexes
Implement AI based techniques to extract valuable insights and patterns from data, enabling actionable recommendations and predictions
Design and develop agentic AI systems and implement Model Context Protocols (MCPs) for enhanced AI capabilities
Develop and fine-tune GenAI workflows for complex decision-making scenarios.




Establish best practices for using AI tools like Claude to enhance team productivity

Full Stack Development:
Develop and implement robust web applications using React, Python, Django, and the Django REST Framework
Design and develop efficient, scalable backend applications and APIs that integrate seamlessly with AI models
Create responsive and intuitive front-end interfaces using React / NextJS, HTML5, CSS3, and JavaScript
Establish and enforce secure coding standards / practices, patterns, and project structure guidelines across the full stack
Design comprehensive testing strategies and write sophisticated unit and integration tests for both front end and back-end components
Own deployment procedures and creating runbooks for full stack releases

Cloud Infrastructure & DevOps:
Design and implement Infrastructure as Code (IaC) using Terraform for scalable cloud deployments.
Deploy and manage AI services on cloud platforms, including Azure Search Service and OpenSearch.
Build and maintain CI/CD pipelines using GitHub Actions and other automation tools.
Ensure scalability, performance, and reliability through regular testing, debugging, and optimization.
Implement containerization using Docker and orchestration for microservices architectures.

Continuous Innovation:
Keep up to date with the latest advancements in GenAI technologies, LLMs, and agentic AI frameworks.
Continuously improve software development processes and practices.
Stay current with emerging cloud technologies, DevOps practices, and full-stack development trends.

To apply you need to be: Experience & EducationRequired:
Bachelor's degree or higher in Computer Science, AI, Engineering, or a related field
7+ years of proven experience as a Full Stack Developer, AI Engineer, or similar role with a proven track record of mentoring engineers and fostering technical growth within teams
Strong proficiency in Python and relevant AI libraries and frameworks (LangChain, Langgraph etc.)
Demonstrated experience developing GenAI-based solutions and tools using LLMs
In-depth knowledge of Natural Language Processing (NLP) techniques, including language models, RAG pipelines, and text generation algorithms
Strong proficiency in full-stack development with React / NextJS, Python, Django, and Django REST Framework
Experience with front-end technologies: HTML5, CSS3, JavaScript, and modern React patterns.
Strong knowledge of SQL and database technologies (PostgreSQL, MySQL).
Hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
Proven experience with Infrastructure as Code (IaC) using Terraform
Experience with cloud computing platforms (AWS or Azure) and their AI services
Familiarity with Azure Search Service and/or OpenSearch for semantic search implementations
Experience with containerization technologies (Docker) and distributed computing architectures




Understanding of Agile/Scrum methodologies and software development lifecycle

Preferred:
Experience developing agentic AI systems and implementing Model Context Protocols (MCPs).
Familiarity with vector databases and semantic indexing technologies.
Experience with API gateway design and microservices architectures.
Knowledge of security best practices for AI systems and data privacy compliance.
Experience with monitoring, observability, and performance optimization tools like DataDog

Skills & CompetenciesAbility to work effectively in a fast-paced, dynamic, and innovative environment.
Excellent problem-solving abilities and attention to detail.
Self-starter with the ability to quickly learn, adapt, and conduct POCs as the GenAI landscape evolves.
Ability to translate complex technical concepts into clear explanations for non-technical stakeholders.
Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
Passion for learning and staying updated with rapidly evolving AI technologies and industry trends.
Strong verbal and written communication skills.

What's in it for you: The opportunity to work at a rapid-growth company and industry leader in commercial real estate services
Flexible, high-energy work environment and culture that encourages innovation
Work on cutting-edge GenAI technologies with exposure to the latest advancements in AI, cloud infrastructure, and full-stack development
Collaborative team workplace with opportunities for professional growth and skill development
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.

📌 Staff Software Engineer (India)
🏢 JLL
📍 India