Senior Software Engineer

JLL•Boston, MA

40d•Onsite

About The Position

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.

Requirements

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).
Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code in cloud settings.
Proficient in CI/CD, version control (GitHub/Git), and automated testing frameworks.
Experience with database technologies including SQL Server, CosmosDB, and both relational and NoSQL data modeling.
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 analyzes data to resolve inconsistencies in non-routine challenges.
Contributes to planning, implementation, and continuous improvement for software projects.
Exercises sound judgment and provides input in technical decision-making processes.
Balances multiple assignments and effectively adapts to shifting priorities in fast-paced environments.
Candidates must be authorized to work in the United States without sponsorship.

Nice To Haves

Experience with vector databases, information retrieval systems, and optimizing search performance (highly preferred).
Exposure to prompt engineering, LLM integration, or AI tools is an advantage; RAG project experience strongly preferred.
May provide guidance, training, and technical leadership to junior engineers.

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, optimize, 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 optimization 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, GitHub Actions, and Azure DevOps.
Support architectural discussions, code reviews, 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 optimization.
Author and contribute to technical documentation, runbooks, and knowledge sharing initiatives.