AI Engineer (Dialogflow / CCAI / GCP / Node.js)

We are seeking a highly skilled GCP / Dialog flow (CCAI) Developer to design, develop, optimize, and maintain scalable, AI-driven conversational solutions. The ideal candidate will have strong experience in Google Cloud Platform, Dialog flow, backend and frontend development, DevOps practices, and AI-driven contact center solutions. This role will work closely with engineering, QA, and business operations teams to ensure high-quality, secure, and reliable virtual assistant and call center applications.

Key Responsibilities

1. Application Development

• Develop, enhance, and maintain Dialogflow / CCAI solutions, including both structured Dialogflow agents and AI-enabled playbooks.
• Design and implement backend services using Node.js, REST APIs, SQL, and JSON.
• Develop frontend and middleware components using HTML, JavaScript, and UI/UX best practices.
• Manage shared global variables and objects in high-volume, high-concurrency applications.
• Implement secure authentication mechanisms including JWT and OAuth.

2. Cloud & DevOps

• Configure, manage, and optimize GCP and Dialogflow environments, including environment variables and migration strategies.
• Set up and maintain databases (MySQL / DBMS) and integrate with reporting and analytics tools (e.g., Looker).
• Implement and manage CI/CD pipelines using GitHub (or similar), ensuring modular, multi-developer friendly codebases.
• Monitor system performance, CPU utilization, logs, errors, and alerts to ensure reliability and scalability.

3. Testing & Quality Assurance

• Monitor system behavior, errors, and performance metrics to drive continuous improvement.
• Design and execute automated testing for web (OLS), backend, and voice-based systems, including regression and stress testing.
• Implement Virtual Assistant testing using phone dialing appliances and recorded voice inputs.
• Monitor and support integrations with third-party platforms such as Dentrix, EzText, and phone number lookup services.

4. Business Operations & Call Center Quality

• Analyze call flows to identify no-match phrases, disconnects, and dead-end conversations, and tune Dialogflow accordingly.
• Implement monitoring solutions to detect and reduce AI hallucinations, ensuring grounded, coherent, and customer-friendly conversations.
• Continuously improve Virtual Assistant (VA) performance to meet call center quality and operational standards.

Required Skills & Qualifications

• Proven experience working in Google Cloud Platform (GCP) environments.
• Strong expertise in Dialogflow / CCAI development and maintenance.
• Proficiency in Node.js, REST APIs, SQL, and JSON.
• Strong frontend development skills using HTML and JavaScript.
• Experience managing secure, high-concurrency applications.
• Hands-on experience with JWT and OAuth authentication.

Preferred / Bonus Skills

• Experience with AI / Gemini prompting and Vertex AI API integrations, including fine-tuning models for Virtual Assistants or contact center support.
• Experience building, customizing, or integrating Speech-to-Text (STT) models or third-party STT engines.

Job Type: Full-time

Application Question(s):

• This is a night shift and onsite role from 07PM to 04AM. Are you comfortable with shift arrangements?

Experience:

• DialogFlow: 2 years (Required)
• Node.js: 2 years (Required)
• GCP: 2 years (Required)

Work Location: In person