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Tier-1 brand, mid-level generalist title, and Bangalore metro boost candidate competition.
Specialized telecom/SIP and voice-bot experience increases domain bias, reducing cross-industry transferability.
Explicit 5+ years plus mandatory SIP, AI-bot, cloud-native and Kubernetes experience indicates high shortlisting strictness.
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Design, build, and maintain multi modal AI bot capabilities across voice and chat, including routing, context management, and escalation to live agents.
Develop and support SIP/Session voice integration, including call flow and session lifecycle management in collaboration with voice platform teams.
Lead full stack engineering for backend services and APIs with involvement in frontend as needed, covering the full software development lifecycle from design to support.
Undergraduate degree or equivalent experience.
5+ years of professional software engineering experience delivering production-grade applications with end-to-end ownership.
Experience developing multi modal AI or bot platforms spanning voice and digital channels with context management and human escalation.
Experience with cloud native architectures, containerization (e.g., Kubernetes), high availability design, and AI integrations such as speech-to-text or text-to-speech.
Experienced in scalable, resilient AI bot platform development with expertise in voice and digital channel integration.
Skilled in session management and SIP call flow design within telecom or voice platform environments.
Proficient full stack engineer capable of end-to-end solution delivery including orchestration, automation testing, and deployment in cloud-native settings.