Job
Description
Job Title: Full-Stack WebRTC & AI Automation Engineer Location: [City, State / Remote] Experience Level: [Mid-Level/Senior] Reports To: [CTO / Head of Engineering]
Company Overview [Insert a brief, engaging description of your company, its mission, and the product. Highlight that the core product involves real-time streaming, interaction, and intelligent automation.
Role SummaryWe are seeking an experienced and innovative full-stack engineer to architect, develop, and optimize our real-time streaming web and mobile applications. The ideal candidate will possess deep expertise in WebRTC for low-latency media transmission, proficiency in Node.js for scalable backend services, and hands-on experience integrating AI/ML models for advanced features like chat automation, media processing, and data analysis. This role is critical for delivering a fast, reliable, and intelligent real-time user experience.
Key Responsibilities WebRTC & Streaming Development: Design and implement end-to-end, high-performance, low-latency video, audio, and data streaming solutions using the WebRTC API for both web and mobile environments.
Develop, optimize, and maintain the Node.js-based signaling server (e.g., using Socket.IO) necessary for WebRTC peer discovery, negotiation, and session management.
Configure and manage NAT traversal services, including STUN/TURN servers, to ensure reliable connectivity across diverse network environments.
Implement advanced WebRTC features such as simulcasting, selective forwarding (SFU), and bandwidth adaptation to guarantee call quality and scalability.
Backend & Core Application Development Build and maintain robust, scalable, and secure microservices using Node.js and frameworks like Express.js or NestJS.
Design and implement flexible RESTful and/or GraphQL APIs for the consumption of front-end and mobile clients.
Manage data storage solutions (SQL/NoSQL databases like MongoDB or PostgreSQL) and optimize data models for real-time application needs.
AI Integration & Automation Integrate and deploy AI/ML services and APIs to enable features such as real-time transcription, content moderation, data analysis, and predictive user behavior.
Develop and enhance conversational interfaces and chat flows, leveraging natural language processing (NLP) models and/or chatbot platforms for customer engagement and task automation.
Design data pipelines to feed real-time streaming data into AI models and process the results back into the application flow.
Front-End & Cross-Platform UI Development: Develop highly responsive and intuitive user interfaces using modern JavaScript frameworks (e.g., React, Vue, or Angular).
Ensure application compatibility and performance across various browsers, devices, and operating systems, including PWA or hybrid mobile app deployment.
Required Technical Qualifications 5+ years of professional experience in full-stack web application development.
3+ years dedicated experience with real-time media and communication using native WebRTC and associated protocols (STUN/TURN, ICE, SDP).
Expert proficiency in server-side development using Node.js and JavaScript/TypeScript.
Proven experience building and optimizing low-latency backend services (signaling, API gateway).
Experience with a modern front-end framework (React, Vue, or Angular).
Solid understanding of system design for scalability and security (JWT, OAuth, encryption, XSS/CSRF prevention).
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Preferred Qualifications (Bonus Points) Experience with media servers (e.g., Janus, Jitsi, Kurento) for large-scale broadcast or mixing.
Familiarity with AI/ML integration platforms (e.g., TensorFlow.js, Google Cloud AI services, and OpenAI APIs).
Knowledge of mobile app development frameworks (React Native or native Android/iOS WebRTC implementations).
Advanced network programming knowledge related to UDP/TCP and network traversal optimization.
Soft Skills: Exceptional problem-solving abilities, particularly related to debugging complex, distributed, real-time systems.
Strong communication skills and ability to collaborate effectively with product managers and other engineering teams.
Self-motivated and capable of driving features from conception to deployment.
