FastAPI Back End Developer

As a FastAPI Backend Developer at NewtonAI, you will play a crucial role in designing high-performance APIs, managing databases, and deploying scalable AI solutions on the cloud. Your expertise will be instrumental in ensuring seamless interaction with frontend applications built in React.js and Native JavaScript. If you are passionate about optimizing backend architectures and working with AI-driven systems, this is an opportunity for you to make a significant impact. - Develop and maintain high-performance FastAPI applications. - Design and optimize APIs for AI-powered processing, ensuring seamless integration with React.js and Native JavaScript frontends. - Build and manage real-time communication systems using WebRTC, including support for: - Real-time Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines. - Peer-to-peer video/audio communication. - Signaling, media negotiation, and session management. - Manage databases like PostgreSQL (SQL) or MongoDB (NoSQL) for efficient and scalable data handling. - Implement vector storage and retrieval solutions (e.g., Pinecone, Weaviate) for AI-driven search features. - Deploy, scale, and monitor backend services on AWS, Google Cloud, or Azure. - Ensure security, scalability, and performance best practices across all backend services. - Collaborate with AI/ML engineers, frontend developers (React.js/JavaScript), and DevOps to ensure end-to-end product quality and performance. - Hands-on experience with WebRTC for: - Real-time communication (audio/video). - Integration with real-time STT/TTS pipelines using third-party or in-house speech services. - Building signaling servers and working with STUN/TURN for NAT traversal. - Advanced proficiency in FastAPI (Python) for REST API development. - Experience building frontends or integrating APIs with React.js and/or Vanilla JavaScript. - Strong knowledge of PostgreSQL and/or MongoDB for relational and document-based data storage. - Familiarity with vector database technologies like Pinecone or Weaviate. - Proven cloud deployment skills on AWS, Google Cloud, or Azure. - Deep understanding of API security, including OAuth2, JWT, CORS, and rate limiting. - Exposure to CI/CD pipelines, Docker, and microservice architecture is an advantage.,