Conversational AI Developer (Dialogflow / GCP / Node.js)

We are seeking a highly skilled Conversational AI Developer with strong expertise in Google Cloud Platform (GCP), Dialogflow / CCAI, and Node.js. The ideal candidate will be responsible for developing, maintaining, and optimizing conversational AI solutions and virtual assistants that enhance customer experiences and streamline call center operations.

This role requires a blend of AI engineering, backend development, and DevOps knowledge, along with an understanding of conversational design, natural language processing (NLP), and secure cloud-based integration.

Key ResponsibilitiesAI Development & Dialogflow / CCAI

• Design, develop, and maintain advanced conversational agents using Dialogflow CX / ES and CCAI.
• Build and optimize structured and AI-enabled playbooks for natural, efficient customer interactions.
• Tune and train bots to minimize no-match phrases, dead ends, and AI “hallucinations.”
• Implement Vertex AI and Gemini API integrations to enhance conversational intelligence.
• Collaborate with QA and call center teams to continuously improve virtual agent performance and customer experience.

Backend & Integration

• Develop scalable backend services using Node.js, APIs (Fetch), and SQL / JSON.
• Manage shared global variables and objects in high-concurrency applications.
• Implement secure authentication mechanisms (JWT / OAuth).
• Integrate with third-party systems such as Dentrix, EzText, and PhoneNumLookup.
• Configure and maintain MySQL databases and reporting tools (e.g., Looker).

DevOps & Cloud Management

• Configure and manage GCP environments, environment variables, and migration controls.
• Set up and maintain CI/CD pipelines using GitHub and Visual Studio.
• Monitor cloud performance, handle errors and alerts, and optimize deployment processes.
• Support modularized code structure for multi-developer environments.

Testing & Continuous Improvement

• Conduct regression, load, and stress testing (OLS Web Test Automation).
• Implement voice and backend test automation using phone dialing appliances and recordings.
• Monitor system logs, defects, and integrations to drive ongoing improvement.
• Support audits, debugging, and defect resolution.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of experience in software development, preferably within SaaS / AI / cloud-based environments.
• Expertise in Dialogflow / CCAI, GCP, Node.js, SQL, and JavaScript.
• Strong understanding of API development, OAuth, and secure authentication.
• Experience in building and deploying scalable conversational AI systems.
• Familiarity with AI prompting (Gemini, Vertex AI), Speech-to-Text models, and machine learning workflows is a plus.
• Experience with CI/CD, Git, and cloud monitoring tools.

Bonus Skills

• Experience developing or integrating custom Speech-to-Text (STT) or Text-to-Speech (TTS) models.
• Familiarity with call center technology, voicebots, and AI-assisted customer service.
• Background in AI tuning, model fine-tuning, or LLM integration.

Job Type: Full-time

Application Question(s):

• Please share any experience you have integrating Vertex AI, Gemini, or other AI/ML models with conversational systems.
• This is an on-site position with shift hours from 7 PM to 4 AM Pakistan Time. Are you comfortable with this shift schedule?

Experience:

• Google Dialogflow / CCAI: 2 years (Required)
• Node.js and API integrations: 2 years (Required)
• Google Cloud Platform (GCP): 1 year (Required)

Work Location: In person