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Mid-level metro role with specialized LLM and telephony skills reduces general applicant competition.
Requires niche LLM, telephony, vector DB and RAG expertise, limiting cross-industry portability.
Explicit 5–7 years, 2+ years LLM experience and specific tech stack enforce strict screening.
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Lead design and development of an enterprise-grade AI Voice Calling Platform handling inbound/outbound calls, multilingual conversations, CRM integration, and real-time analytics.
Build and implement AI-powered voice agents with features like call transfer, voicemail detection, dynamic conversation flows, and telephony integrations (Twilio, Exotel, Plivo).
Develop scalable backend APIs, a modern SaaS dashboard with modules including user management, call monitoring, analytics, and CRM integration, ensuring secure cloud deployment and compliance.
5–7 years of software development experience with 2+ years in LLMs and AI agent development.
Proficiency in frontend (React.js, Next.js, TypeScript) and backend (Python FastAPI or Node.js NestJS) technologies with experience in REST APIs, WebSockets, PostgreSQL, Redis, Docker, and Kubernetes (preferred).
Experience with AI/Voice technologies including OpenAI APIs, Google Gemini, LangChain, Twilio Voice, Deepgram/Whisper, Text-to-Speech providers, and telephony integration.
Work location: Sector-62, Noida; Interview mode: Face-to-face only; Work Experience Required: 5–7 years
Has a strong portfolio of AI or SaaS products, especially production-grade voice AI systems.
Experienced in building scalable, enterprise-grade cloud architectures integrating complex AI and telephony solutions.
Capable of delivering end-to-end AI voice platforms including Dashboard, Knowledge Base, CRM integrations, and secure cloud deployments within timelines.