About OneDose AI
OneDose AI is building intelligent healthcare infrastructure powered by AI, automation, and real-time systems. Our platform focuses on improving patient outcomes, operational efficiency, and scalable healthcare delivery through next-generation technology.
We work on production-grade systems involving machine learning, real-time communication, intelligent workflows, and large-scale data processing.
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Role Overview
We are looking for a Python Developer Engineer with 1–2 years of experience to work on backend systems, real-time communication pipelines, and scalable AI-driven applications.
You will be involved in building low-latency services, integrating real-time streaming architectures, and developing production-ready APIs powering intelligent healthcare workflows.
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Responsibilities
* Build scalable backend services using Python
* Work on real-time communication and streaming systems
* Develop and optimize APIs and asynchronous workflows
* Integrate audio/video communication pipelines
* Improve system performance, reliability, and latency
* Collaborate with AI and product engineering teams
* Contribute to deployment and production infrastructure
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Required Skills
* Strong Python programming fundamentals
* 1–2 years of backend development experience
* Experience with asynchronous programming
* Familiarity with REST APIs and microservice architecture
* Understanding of real-time communication systems
* Experience working with WebRTC-based implementations
* Comfortable debugging production issues and optimizing performance
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Good To Have
* Experience with FastAPI or Flask
* Knowledge of Docker and cloud deployment
* Exposure to AI/ML-powered applications
* Familiarity with streaming/media processing pipelines
* Understanding of scalable distributed systems
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Why Join Us
* Work on cutting-edge AI and real-time systems
* Build products used in real healthcare environments
* High ownership and fast execution culture
* Opportunity to work closely with senior engineering leadership
* Learn scalable system design and production AI architecture
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