Conversational AI Developer

6 days ago


Islamabad, Islamabad, Pakistan Provox Global Solutions Full time 120,000 - 240,000 per year

We are seeking a highly skilled Conversational AI Developer with strong expertise in Google Cloud Platform (GCP), Dialogflow / CCAI, and 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 , 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, , 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)
  • and API integrations: 2 years (Required)
  • Google Cloud Platform (GCP): 1 year (Required)

Work Location: In person



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