AI Engineer and Full Stack Developer

Here’s a more detailed and polished version: We are seeking an experienced **AI Engineer and Full Stack Developer** to design, build, and deploy a production-ready voice agent application. The project involves developing an intelligent voice assistant capable of understanding user requests, processing natural language, responding conversationally, and integrating with Google Assistant. The ideal candidate should have strong experience in **AI/ML development, voice assistant architecture, backend and frontend engineering, API integrations, and cloud deployment**. You will be responsible for building the core voice agent, connecting it with relevant AI models and services, integrating it with Google Assistant, and deploying the application on **Google Cloud Platform using Kubernetes Engine**. Responsibilities include designing the system architecture, developing conversational AI workflows, implementing backend services, building any required frontend or admin interfaces, managing APIs and third-party integrations, containerizing the application, setting up Kubernetes deployment pipelines, and ensuring the application is scalable, secure, and reliable. The ideal candidate should have hands-on experience with technologies such as **Python, Node.js, React, APIs, LLMs, speech-to-text, text-to-speech, Google Assistant integrations, Docker, Kubernetes, and Google Cloud Platform**. Experience with Dialogflow, Vertex AI, Google Cloud Run, Pub/Sub, Firebase, or similar cloud-native tools is a strong plus. We are looking for someone who can work independently, make strong technical decisions, follow best practices, and deliver a clean, maintainable, production-ready solution.