KEY RESPONSIBILITIES
Design, develop, and maintain full stack applications using FastAPI (backend) and React.js (frontend).
Build scalable RESTful APIs and WebSocket-based real-time communication systems.
Implement backend services using FastAPI, asynchronous I/O, Redis, Celery, PostgreSQL, and MQTT-based communication systems.
Create real-time dashboards for AI detections, analytics visualization, inspection workflows, and edge-system monitoring.
Build reusable frontend components and modular backend services for scalable platform architecture.
Integrate AI inference pipelines and result-handling systems with frontend visualization modules.
Develop and maintain Dockerized services for deployment in offline and air-gapped Linux settings.
Participate in code reviews, CI/CD workflows, testing, debugging, and deployment automation.

QUALIFICATIONS
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent.




2–4 years of hands-on experience in full stack software development.
Robust proficiency in Python backend development using FastAPI (or Flask with async experience).
Solid proficiency in React.js, JavaScript (ES6+), TypeScript, HTML5, and CSS3.
Hands-on experience with PostgreSQL, Redis, and Celery.
Experience integrating frontend applications with REST APIs and WebSocket services.
Experience with Docker and Linux-based development environments.

NICE-TO-HAVE
Familiarity with AI/ML inference system integration.
Experience with real-time visualization dashboards, charts, heatmaps, or streaming data systems.
Understanding of WebSockets, gRPC, or distributed event-driven architectures.
Knowledge of authentication and access control mechanisms (OAuth2 / JWT).
Exposure to C++–Python interoperability (pybind11 / gRPC).

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