About the Role
We are looking for a highly skilled Python Developer with 23 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
- 23 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 https://freelancer.expertshub.ai/auth/sign-upmarketingCode=EXPMRJEN002
