AI Engineer
Fleetio- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in Computer Science, Software Engineering, or a related field, and have a minimum of 7 years of experience in application development, with a strong focus on modernizing legacy systems. They should demonstrate a deep understanding of software architecture, design patterns, and cloud-native technologies, along with experience in implementing AI-driven solutions.
As a Lead AI-Accelerated Application Modernization Engineer, you will provide technical delivery leadership within projects or workstreams, accountable for technical excellence and identifying opportunities to leverage AI for faster, more robust solutions. You will uplift engineers, both client and Liatrio, helping them adopt AI-assisted workflows and contribute to the overall modernization strategy, while also driving client engagement and fostering collaboration across teams.
Enhances patient engagement using behavioral science
Lirio focuses on improving patient engagement and health outcomes in the healthcare sector by utilizing behavioral science and artificial intelligence. The company provides solutions that encourage patients to schedule and attend important health screenings, such as mammograms and colorectal cancer screenings. Their main product, Precision Nudging, applies behavioral science principles to positively influence patient behavior and is integrated into healthcare providers' systems to keep patients engaged in their health. Unlike many competitors, Lirio addresses both external and internal barriers that prevent patients from attending appointments, which enhances healthcare delivery. The company's goal is to improve overall patient outcomes through proactive health management, and it generates revenue through subscription services and partnerships with healthcare organizations.