NLP Web Application Development
Budget: $15 – $25 USD
Job Description:
We are seeking a skilled Full-Stack Developer to build a real-time transcription and response generation system for live calls. The ideal candidate will have experience in backend and frontend development, real-time communication, speech-to-text technologies, and natural language processing.
Responsibilities:
Develop and maintain a scalable server-side application using Node.js and Express.js.
Implement real-time audio streaming and processing using WebSockets (Socket.IO) and WebRTC.
Integrate Deepgram and Google Cloud Speech-to-Text for real-time transcription.
Use OpenAI API for natural language processing and response generation.
Design and develop a user-friendly frontend interface for capturing and streaming audio.
Ensure the application is secure, scalable, and optimized for performance.
Collaborate with cross-functional teams to define, design, and ship new features.
Set up and maintain CI/CD pipelines for continuous integration and deployment.
Requirements:
Proven experience in Node.js and Express.js development.
Strong knowledge of WebSockets (Socket.IO) and real-time communication.
Experience with speech-to-text technologies (Deepgram, Google Cloud Speech-to-Text).
Proficiency in using OpenAI API for NLP tasks.
Frontend development skills in HTML, CSS, JavaScript, and WebRTC.
Experience with Docker and containerization.
Familiarity with databases (NoSQL/SQL) and database optimization.
Strong problem-solving skills and ability to troubleshoot technical issues.
Excellent communication and project management skills.
Preferred:
Experience with Kubernetes for container orchestration.
Background in DevOps and infrastructure management.
Knowledge of security best practices for web applications.
We are seeking a skilled Full-Stack Developer to build a real-time transcription and response generation system for live calls. The ideal candidate will have experience in backend and frontend development, real-time communication, speech-to-text technologies, and natural language processing.
Responsibilities:
Develop and maintain a scalable server-side application using Node.js and Express.js.
Implement real-time audio streaming and processing using WebSockets (Socket.IO) and WebRTC.
Integrate Deepgram and Google Cloud Speech-to-Text for real-time transcription.
Use OpenAI API for natural language processing and response generation.
Design and develop a user-friendly frontend interface for capturing and streaming audio.
Ensure the application is secure, scalable, and optimized for performance.
Collaborate with cross-functional teams to define, design, and ship new features.
Set up and maintain CI/CD pipelines for continuous integration and deployment.
Requirements:
Proven experience in Node.js and Express.js development.
Strong knowledge of WebSockets (Socket.IO) and real-time communication.
Experience with speech-to-text technologies (Deepgram, Google Cloud Speech-to-Text).
Proficiency in using OpenAI API for NLP tasks.
Frontend development skills in HTML, CSS, JavaScript, and WebRTC.
Experience with Docker and containerization.
Familiarity with databases (NoSQL/SQL) and database optimization.
Strong problem-solving skills and ability to troubleshoot technical issues.
Excellent communication and project management skills.
Preferred:
Experience with Kubernetes for container orchestration.
Background in DevOps and infrastructure management.
Knowledge of security best practices for web applications.