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Job Closed

Voice AI Engineer

  • Source: Naukri
  • Infinityquest It Services
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Looking only Immediate Joiners

Experience Range: 8 to 12 Years

Mandatory Skills: Python, Voice AI, Speech-to-Text (STT), Text-to-Speech (TTS), Conversational AI, Google CXAS, Google Cloud (Dialogflow, Speech APIs)

Location Preferred: Bengaluru, Hyderabad

Role and Responsibilities

  • Lead the technical design and development of Voice AI and Conversational AI solutions using Google Cloud technologies
  • Build scalable voice-enabled systems using Dialogflow CX/ES, Speech-to-Text, and Text-to-Speech APIs
  • Drive hands-on development using Python for building backend services, APIs, and AI orchestration layers
  • Design and implement end-to-end voice bot solutions including NLU, dialog management, and response generation
  • Integrate voice solutions with enterprise systems (CRM, contact center platforms, APIs)
  • Lead a team of engineers, conduct code reviews, and ensure high-quality delivery standards
  • Optimize latency, accuracy, and user experience in real-time voice interactions
  • Implement monitoring, logging, and analytics for voice applications
  • Ensure security, compliance, and responsible AI practices in voice solutions
  • Collaborate with stakeholders, product teams, and clients for requirements and solutioning

Technical Skill Requirements

  • Strong hands-on experience in Python programming (mandatory)
  • Expertise in Google Cloud Voice & Conversational AI services (Dialogflow, Speech-to-Text, Text-to-Speech)
  • Strong understanding of NLP, NLU, and conversational design principles
  • Experience in building IVR and voice bot solutions for enterprise use cases
  • Hands-on experience with REST APIs, microservices, and backend integration
  • Experience with real-time streaming and event-driven architectures
  • Knowledge of contact center integrations (Genesys, Amazon Connect, or similar)
  • Experience with cloud platforms (GCP preferred; AWS/Azure good to have)
  • Familiarity with Docker, CI/CD pipelines, and Kubernetes
  • Understanding of monitoring tools and observability practices

Skills

  • Python
  • amazon-text-to-speech
  • google-voice
  • google-cloud-platform
  • Dialogflow
  • google-dialogflow
  • genesys
  • amazon-connect
  • amazon-web-services
  • microsoft-azure
  • Docker
  • Kubernetes
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