Voice AI Engineering Lead

Job Title: Voice AI Engineering Lead City: Bengaluru, Chennai, Coimbatore, Greater Noida, Hyderabad, Pune State/Province: Karnataka, Maharashtra, Tamil Nadu, Telangana, Uttar Pradesh Posting Start Date: 6/24/26 Job Description: Job Description Experience Range: 8 to 16 Years & Educational Qualification: B.E./B.Tech, M.E./M.Tech, MCA or equivalent qualification Primary Skills: Python (Mandatory), Voice AI, Speech-to-Text (STT), Text-to-Speech (TTS), Conversational AI Preferred Skills: Google Cloud (Dialogflow, Speech APIs), Google Customer Experience Agent Studio(CXAS) and Gemini Enterprise for Customer Experience(GECX) Location: Open across India (Preferred: Bengaluru, Hyderabad, Pune, Chennai) Role and Responsibilities Lead the design and development of Voice AI solutions using Google Cloud technologies Bring thought leadership and best practices to help customer share the Voice AI transformation roadmap Architect 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 conversational voice AI 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 core voice AI 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 Nice to Have Skills Google Customer Experience Agent Studio(CXAS) and Gemini Enterprise for Customer Experience(GECX) Experience with Generative AI for voice bots (LLMs, RAG integration) Multilingual voice assistant development experience Knowledge of speech analytics and sentiment detection Exposure to Voice biometrics and authentication systems Experience in optimizing voice UX and conversation flows ͏ ͏ ͏ ͏