Role Overview:

Conversational AI Engineer to work on an innovative healthcare project. The candidate will focus on building and enhancing intelligent conversational solutions using Google Dialogflow, Speech-to-Text, and Google Cloud Contact Center AI (CCAI) services. The role will involve extensive interaction with Google Cloud Platform (GCP) services, including Cloud Run, Pub/Sub, and Load Balancer. This is an exciting chance to apply cutting-edge AI technologies in a healthcare setting.

Key Responsibilities:

- Design, develop, and implement conversational AI solutions using Google Dialogflow and Speech-to-Text.
- Collaborate with cross-functional teams to deploy Google Contact Center AI (CCAI) solutions.
- Leverage GCP services such as Cloud Run, Pub/Sub, and Load Balancer to ensure scalable and reliable service delivery.
- Manage containerized applications using Docker.
- Handle web programming tasks, including basic HTML, JavaScript, and web server setup.




- Implement secret management and authentication mechanisms to ensure secure communications.
- Conduct web scraping as needed for data collection and integration tasks.

Qualifications:

- Proven experience with Google Dialogflow and Speech-to-Text for conversational AI development.
- Expertise in Google Contact Center AI (CCAI) and Contact Center as a Service (CCaaS).
- Strong working knowledge of Google Cloud Platform (GCP) services, especially Cloud Run, Pub/Sub, and Load Balancer.
- Proficiency with containerization technologies, especially Docker.
- Basic web development skills in HTML, JavaScript, and web server setup.
- Experience with secret management, authentication, and security best practices.
- Familiarity with web scraping techniques and tools.
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📌 Conversational AI Engineer (Pune)
🏢 Peoplefy Infosolutions Private
📍 Pune