- Company Name
- JLL Technologies
- Job Title
- Senior Full Stack Engineer (React, .NET)
- Job Description
-
What This Job Involves
About the role
#JLLTechAmbitions
Jones Lang LaSalle, an international commercial real estate firm is looking for a Senior Fullstack Engineer to build and support AI and data-based applications for its investment management business. This person will become part of Lasalle Engineering team working closely with the product leads, data science teams and business stakeholders. The right person will have a results and performance driven attitude with strong sense of accountability and providing ideas, recommendations, and creative progress.
Location: London
Responsibilities:
Develop and maintain end-to-end software solutions to support our CRE Investment Business, leveraging your expertise in full stack development methodologies.
Collaborate with cross-functional teams, including data scientists, designers, product managers and business, to build and implement AI-driven features and functionalities into our technology products.
Design and implement RESTful APIs, microservices, and cloud-based solutions for scalability and reliability.
Integrate machine learning models into backend services to solve complex business problems and enable predictive analytics.
Ensure high code quality and efficiency by writing clean, maintainable, and testable code.
Work in an agile development environment, with sprint planning, daily stand-ups, and code reviews.
Work on critical features that help enhance system security – including recommendations from static code scan, Dynamic Application Security Testing and Penetration testing results.
Perform and participate in peer review sessions.
Requirements:
Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
Proven experience in full stack software development, with expertise in both front-end and back-end technologies (e.g., JavaScript, HTML/CSS, Python, NodeJS, C#, Java).
Strong knowledge and practical experience in AI technologies, such as machine learning, natural language processing (NLP), and computer vision.
Familiarity with AI frameworks and libraries, including OpenAI, PyTorch, or Keras.
Experience in developing and deploying scalable cloud-based applications using platforms like AWS, Azure, or Google Cloud.
Solid understanding of database concepts, specifically SQL and NoSQL databases.
Proficiency in working with version control systems (e.g., Git) and DevOps pipelines.
Excellent problem-solving skills and ability to learn new technologies quickly.
Strong communication and collaboration skills.
