Google Dialogflow CX Conversational AI Developer

3 weeks ago

Mumbai, India Tech Mahindra Full time

Job Description: Google Dialogflow CX Conversational AI Developer

As a Conversational AI Developer, you will design, develop, and implement high-quality conversational experiences using Google Dialogflow and integrate them with Generative AI models. You will work closely with cross-functional teams to deliver AI-driven solutions that improve customer experiences.

Key Responsibilities:

- Design, build, and maintain conversational agents (chatbots/voicebots) using Google Dialogflow ES & CX, Google CCAI Platform, Agent Assist, Insights, Vertex AI.

- Develop and integrate fulfillment logic using Node.js (Intermediate / Advanced) or Python (Intermediate / Advanced) to enable dynamic, context-aware conversations.

- Implement Natural Language Processing (NLP) and Natural Language Understanding (NLU) models for efficient intent recognition and entity extraction.

- Fine-tune and optimize Generative AI models (such as OpenAI, GPT models) to enhance conversational experiences.

- Integrate external APIs and services with conversational agents for real-time data and personalized responses.

- Implement conversational AI solutions in multi-channel environments (e.g., web, mobile, voice assistants).

- Work with cloud services such as Google Cloud Functions, Cloud Run, Firebase, etc to host serverless fulfillment for chatbots.

- Collaborate with UI/UX teams to design user-friendly conversational flows.

- Perform rigorous testing and ensure the bot behavior meets performance, scalability, and quality standards.

Monitor and analyze chatbot performance using Google Analytics, Dialogflow CX, and other tools like Insights, Agent Assist to improve conversational accuracy and user satisfaction.

Technical Skills:

- Google Dialogflow (ES/CX): Proficient in designing intents, entities, contexts, and webhook integration.

- Generative AI (GPT, LLMs): Hands-on experience implementing and fine-tuning large language models for conversation flows.

- Programming Languages: Medium to strong expertise in Python and/or Node.js for backend services and integrations.

- Cloud Platforms: Experience with Google Cloud (GCP), AWS, or Azure for deploying and scaling conversational applications.

- API Integrations: Experience integrating with RESTful APIs, webhooks, and third-party services (CRM, ERP, etc.).

- Database Management: Knowledge of NoSQL (Firestore, MongoDB) or SQL (MySQL, PostgreSQL) for storing and retrieving data.

- Machine Learning: Understanding of ML concepts (NLP, NLU, sentiment analysis) and tools like TensorFlow, Hugging Face, or Transformers.

- Version Control: Proficiency with Git for version control and collaboration.

**** Dialogflow Analytics: Knowledge of bot performance monitoring tools like Google Analytics, Dialogflow's built-in analytics, and other AI/ML model tracking tools like Insights(Required), Agent Assist (Required).

- Deployment Pipelines: Experience with CI/CD tools for automated testing and deployment.

Nice-to-Have:

- Familiarity with cloud infrastructure like Docker or Kubernetes for containerization and microservices.

- Prior experience in voice-enabled applications using platforms like Alexa, Google Assistant, Telephony integrations, etc.

- Experience with multi-lingual chatbot development.

Soft Skills:

- Strong problem-solving abilities and keen attention to detail.

- Excellent communication skills for collaborating with cross-functional teams.

- Ability to document processes and write clear, maintainable code.

This role demands a developer who can combine conversational AI expertise with strong coding and cloud platform experience to build scalable and intelligent chatbot systems enhanced by generative AI technologies.

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