Senior Software Engineer

JLL empowers you to shape a brighter way.

Our people at JLL and JLL Technologies 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

JLL is seeking a Full Stack Software Engineer to join our GenAI and Central Platform teams. In this role, you will design, develop, and maintain applications and services powering next‑generation AI assistants and RAG (Retrieval‑Augmented Generation) systems. You will own meaningful software projects with a focus on scalable architecture, modern API development, performance optimization, and high development standards, serving both internal teams and external stakeholders.

Hybrid work arrangements and substantial project ownership offer an environment where you can make a significant impact.

Key Responsibilities

• Design, implement, and support RESTful APIs, backend services, and microservices architectures using Python and Node.js.

• Develop full stack solutions incorporating frontend (JavaScript frameworks) and backend components for scalable enterprise applications.

• Build, optimise, and maintain search and retrieval systems, including integration with vector databases and information retrieval technologies.

• Collaborate with data engineers to integrate AI/ML models and RAG systems into production.

• Implement prompt engineering and optimisation strategies to improve intelligent assistant interactions and AI‑powered applications.

• Lead maintenance, bug fixing, troubleshooting, and enhancements of existing codebases, ensuring reliability and performance.

• Apply robust error handling, automated logging, and monitoring best practices for mission‑critical cloud software.

• Contribute to CI/CD pipeline automation, testing strategy, and quality assurance using Git, Git Hub Actions, and Azure Dev Ops.

• Support architectural discussions, code review, and technical decision‑making processes for engineering excellence.

• Translate business and functional requirements into technical deliverables in collaboration with cross‑functional teams.

• Stay current with emerging technologies and best practices in AI/ML, full stack development, cloud infrastructure, and search optimisation.

• Author and contribute to technical documentation, runbooks, and knowledge sharing initiatives.

Required Technical Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related discipline.

• At least 7 years of relevant experience in full stack software engineering; designing and delivering production applications.

• Hands‑on experience with Python and Node.js in enterprise environments.

• Competency in modern frontend frameworks (React, Angular, or equivalent).

• Solid experience building APIs, microservices, and distributed systems in Azure or other major cloud platforms (AWS, GCP).

• Experience with vector databases, information retrieval systems, and optimising search performance (highly preferred).

• Familiarity with containerisation (Docker, Kubernetes) and infrastructure‑as‑code in cloud settings.

• Proficient in CI/CD, version control (Git Hub/Git), and automated testing frameworks.

• Experience with database technologies including SQL Server, Cosmos

DB, and both relational and No

SQL data modelling.

• Exposure to prompt engineering, LLM integration, or AI tools is an advantage; RAG project experience strongly preferred.

Required Soft Skills

• Able to work independently and as part of cross‑functional teams, delivering comprehensive applications and solutions.

• Demonstrates clear, proactive communication and cultivates strong business relationships across teams and departments.

• Interprets, monitors, and analyses data to resolve inconsistencies in non‑routine challenges.

• Contributes to planning,…