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Senior AI/ML Engineer-Conversational AI Engineer

  • Source: Naukri
  • Optum
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Design and scale voice chat conversational AI solutions using Amazon Lex, Dialogflow (ES/CX), and Google CX / Agent Studio, with strong focus on engineering excellence across CCaaS integrations, Agile delivery, and AI-assisted development.

Key Responsibilities

  • Build and deploy voice bots/chatbots (Lex, Dialogflow, CX)
  • Design intents, entities, flows, and multi-turn conversations
  • Integrate bots with backend systems via APIs, webhooks, microservices
  • Enable voice-first capabilities (STT/TTS)
  • Integrate with CCaaS platforms (Amazon Connect, Google CCAI, Genesys, NICE, etc.) for:
    • Call routing, IVR automation, and agent handoff
    • Real-time voice interactions and escalation workflows
  • Leverage AI tools (Copilot, GenAI) for development, testing, and flow automation
  • Manage model lifecycle (training, deployment, monitoring, tuning)
  • Optimize bots using analytics, logs, and feedback loops
  • Ensure low latency, high availability, and seamless human handoff

Engineering Delivery

  • Apply clean code, modular design, and best practices
  • Implement CI/CD, automated testing, and DevOps pipelines
  • Enable observability (logging, monitoring)
  • Work in Agile/Scrum, delivering iterative releases
  • Own end-to-end lifecycle: build deploy operate optimize
  • Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.

Required Skills/Experience

  • Hands-on experience with:
    • Amazon Lex, Dialogflow ES/CX, Google CX / CCAI
  • Experience with CCaaS integrations (Amazon Connect, Genesys, NICE, etc.)
  • Strong understanding of:
    • NLP, conversational design, voice UX
  • Programming: Python / Node.js / Java
  • Experience in APIs, cloud (AWS/GCP), CI/CD
  • Familiarity with AI-assisted development prompt engineering
  • Knowledge of model lifecycle deployment

Preferred

  • Exposure to LLMs, RAG, GenAI architectures
  • Experience in enterprise contact center transformations
  • Knowledge of Docker/Kubernetes

Skills

  • amazon-lex
  • Dialogflow
  • google-dialogflow
  • amazon-connect
  • genesys
  • Python
  • NodeJS
  • Java
  • amazon-web-services
  • google-cloud-platform
  • Docker
  • Kubernetes
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