Level AI is an AI-native customer experience platform for enterprise contact centers. It analyzes customer conversations across voice and digital channels and combines automated quality management, real-time Agent Assist, AI Virtual Agents, coaching, Voice of the Customer analytics and specialized AI Workers in one platform. Its Level AI Latitude family includes seven domain-specific models for transcription, redaction, intent detection, summarization, inferred CSAT, quality assurance and Voice of Customer analysis. Level AI says it analyzes more than 1 billion customer interactions annually and processes 4 trillion tokens per year. Customers include Wayfair, Smartsheet, Chime, Gusto and Swiss Re.
Level AI offers candidates the opportunity to build production AI systems for high-volume enterprise customer interactions. The company analyzes more than 1 billion customer interactions annually and processes roughly 4 trillion tokens per year, with work spanning real-time voice agents, LLM orchestration, speech and NLP models, AI Workers, quality automation and distributed infrastructure. It has raised $73.1 million and is backed by investors including Adams Street Partners, Battery Ventures and Eniac Ventures. Level AI was recognized as a Leader in the 2026 CMP Research Prism for Real-Time Agent Assist and shows a 4.7 rating from 200+ G2 reviews on its website. Engineering roles in Bengaluru and Noida use Python, React, GCP, Kubernetes and modern AI infrastructure, with many roles operating in a hybrid model.
Backend and AI
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Founder and CEO of Level AI. Nagar previously worked as a Product Manager on Amazon Alexa's conversational AI team and held product and business roles at Relcy and Kinestral after working at Boston Consulting Group. He studied at IIT Delhi and earned an MS and MBA from Stanford.
Co-founder and CTO of Level AI. Khullar previously worked on machine-learning inference infrastructure at Meta and was an early engineer on Bloomreach's commerce search team. He earned a B.Tech in Computer Science from IIT Delhi and has deep experience in search, distributed systems, machine learning and AI infrastructure.
Chief Revenue Officer at Level AI since 2026. Manno previously spent more than nine years at Qualtrics, where he served as VP of Enterprise Sales and helped scale its enterprise business from roughly $30 million to more than $300 million in revenue. He leads Level AI's global revenue organization and enterprise expansion.
Level AI
Level AI added native WhatsApp support to its Virtual Agent through Meta's Cloud API, allowing the same AI agent to work across voice, web chat and WhatsApp while preserving customer context and using interactive messaging elements.
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Level AI introduced Context Handoff between its Virtual Agent and Agent Assist products. Because both run on a shared platform, customer sentiment, escalation reasons, actions already taken and conversation summaries can be transferred directly to human agents.
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Level AI launched Latitude, a family of seven CX-specific models trained using more than one billion customer interactions. The models cover transcription, redaction, intent detection, summarization, inferred CSAT, quality assurance and Voice of Customer classification.
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