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AI Full Stack Engineer

7 hours ago

Tysons Corner, Virginia, United States Micasa Global Full time

Role :: AI Full Stack Engineer

Location:
Hybrid – 4 days onsite in Tysons Corner, VA.

Job Type:
Full-time

Key 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.

Key Qualifications:

  • 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 , TypeScript) and drag-and-drop libraries (React DnD, SortableJS).
  • Strong backend development skills in Python (FastAPI/Django) or 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 Qualifications:

  • 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).