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
You missed this one - but you don't have to keep missing out. Try Club members get matched with open opportunities before they're gone, so you're always first in line, never last.
