Python Developer

2 weeks ago


pune district, India ExpertsHub.ai Full time

About the Role We are looking for a highly skilled Python Developer with 2–3 years of experience to support our AI Engineering team in building and deploying production-ready AI solutions. The role requires strong expertise in backend frameworks, microservices, and database management , along with exposure to frontend integration . The ideal candidate will have hands-on experience in pipelines, orchestration, system-level optimization, and third-party integrations . Key Responsibilities Collaborate with AI Engineers for local and cloud-based deployment of AI models. Build and maintain scalable AI Application using Python frameworks ( FastAPI, Flask, Django ). Manage databases (SQL & NoSQL) for high-performance data processing. Implement multi-threading, multiprocessing, and Celery-based task management . Containerize applications with Docker and manage deployments in Ubuntu/Linux environments . Integrate with third-party tools such as Google Calendar, Microsoft Calendar, and task management systems . Enable real-time voice, text, and video streaming through tools like LiveKit, Twilio , and WebSockets . Support frontend integration for complete end-to-end AI solutions. Ensure deployments are production-ready with CI/CD, logging, monitoring, and testing. Required Skills & Qualifications 2–3 years of professional experience as a Python Developer . Strong proficiency in Python frameworks : FastAPI, Flask, Django. Hands-on experience with Docker for containerization and deployment. Proficiency in task queues and asynchronous job handling using Celery . Solid understanding of multi-threading and multi-processing concepts. Experience with databases (PostgreSQL, MySQL, MongoDB, etc.). Knowledge of Ubuntu/Linux commands and system-level scripting. Strong grasp of microservices architecture and REST APIs. Experience with real-time communication tools : WebSockets, LiveKit, Twilio. Ability to integrate with third-party APIs (Google Calendar, Microsoft Calendar, To-Do list tools). Familiarity with cloud platforms (AWS, Azure, GCP) for scalable deployments. Apply at



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