Company Description FlowMaestro is a visual platform for building and running automations powered by large language models (LLMs). The platform enables teams to design, configure, and deploy complex AI workflows without deep machine learning expertise. By combining an intuitive interface with robust infrastructure, FlowMaestro helps organizations automate knowledge work, streamline operations, and scale AI solutions. As a growing company, FlowMaestro offers opportunities to work with cutting-edge technologies and shape the future of AI-driven automation.
Role Description As a Full Stack Engineer at FlowMaestro, you will design, build, and maintain end-to-end features for our visual platform in a full-time, on-site role based in Toronto, ON. You will work across the stack to implement responsive user interfaces, robust APIs, and scalable backend services that power LLM-based automations. Your day-to-day tasks will include collaborating with product and design to refine requirements, writing clean and testable code, reviewing peer code, and participating in architecture discussions. You will help integrate and optimize interactions with LLMs, improve application performance and reliability, and contribute to development best practices and documentation. You will also support monitoring, debugging, and continuous improvement of the platform in a fast-paced, collaborative environment.
Qualifications

• Strong Full-Stack Development and Software Development skills, with experience delivering production-ready web applications.
• Proficiency in Front-End Development, including modern JavaScript frameworks and Cascading Style Sheets (CSS) for responsive, accessible UIs.
• Experience with Back-End Web Development, including RESTful APIs, databases, and application architecture for scalable services.
• Comfort working across the entire stack, from data models and business logic to front-end integration and deployment pipelines.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Familiarity with cloud platforms, CI/CD workflows, version control (e.g., Git), and automated testing.
• Strong problem-solving skills, clear communication, and the ability to collaborate effectively in an on-site team environment.
• Experience with LLMs, AI/ML, or workflow automation tools is a plus.