Conversational AI Engineer
Tasks
- Apply AI governance and guardrails
- Build webhook services
- Deploy conversational applications
- Design conversational AI solutions
- Develop virtual assistants
- Implement NLU testing
- Integrate with contact center platforms
- Monitor conversational analytics
- Optimize dialogue flows
- Perform regression testing
- Troubleshoot production issues
Perks/Benefits
Skills/Tech-stack
AI Governance | AI guardrails | API Integration | Amazon Connect | Amazon Lex | Bot Security | Cloud Functions | Cloud Run | Cloud deployment | Contact Center Integration | Contact center | Conversational AI | Conversational Analytics | Dialogflow CX | FastAPI | GKE | Generative AI | Genesys | Google Cloud | Google Cloud Functions | Google Cloud Run | Google Kubernetes | Google Kubernetes Engine | IBM Watson | IBM Watson Assistant | IVR | Integration Testing | Intent entities fulfillment | Java | Kore.AI | Kubernetes Engine | Language Models | Language Understanding | Large Language Models | NLU Testing | Natural Language | Natural Language Understanding | Node.js | RAG | REST API | REST API Integration | REST APIs | RESTful Services | Rasa | Regression testing | Responsible AI | Retrieval-Augmented Generation | Session State | Session State Management | State management | Telephony systems | Twilio Flex | Watson Assistant | Webhooks
Education
N/A
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