Tech Mahindra | Google Dialogflow CX Conversational AI Developer | india

2 months ago

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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