Micasa Global ยท 2 days ago
AI Full Stack Engineer
Micasa Global is seeking an AI Full Stack Engineer to design and build responsive workflow designers with intuitive user interfaces. The role involves developing real-time dashboards, implementing AI-assisted features, and maintaining RESTful APIs for workflow management.
Responsibilities
Design and build responsive drag-and-drop workflow designers with intuitive user interfaces
Develop real-time dashboards and monitoring tools for workflow execution
Implement speech-to-text and AI-assisted workflow configuration features
Architect and maintain RESTful APIs for workflow management, execution, and monitoring
Build scalable workflow execution engines (ex: n8n, Orkes) with support for conditional logic and parallel processing
Ensure secure user authentication, role-based access control, and multi-tenant architecture
Create connectors for data sources, third-party applications, and enterprise systems
Implement secure data handling, encryption, synchronization, and disaster recovery systems
Collaborate with cross-functional teams to deliver high-quality, user-centered solutions
Apply agile development practices and CI/CD pipelines for rapid iteration and deployment
Qualification
Required
6+ years of full-stack development experience with complex business applications
Bachelor's degree in Computer Science, Software Engineering, or related technical field
Proficiency with modern frontend frameworks (React.js/Next.js, TypeScript) and drag-and-drop libraries (React DnD, SortableJS)
Strong backend development skills in Python (FastAPI/Django) or Node.js with microservices architecture
Experience with databases such as PostgreSQL, MongoDB, and caching solutions like Redis
Familiarity with workflow engines, orchestration platforms, or automation frameworks
Hands-on experience with cloud platforms, preferably Microsoft Azure
Strong understanding of software engineering best practices (Git, CI/CD, testing frameworks)
Must be a US Citizen or GC holder
Preferred
Experience in financial technology, enterprise workflow platforms, or regulatory technology
Knowledge of workflow standards such as BPMN
Experience building visual programming tools or drag-and-drop interfaces
Familiarity with speech recognition APIs and voice-driven interfaces
DevOps experience with CI/CD pipelines, containerization, and orchestration (Docker, Kubernetes)